Pub Date : 2020-12-01DOI: 10.11591/IJRA.V9I4.PP281-291
Nasir Ahmed Alawaad
Steam turbine is viewed as a standout among hotspots for control age in the most recent decades, its elements examination end up being dynamically more basic. For this investigation, the model chose is of turbine speed control framework. The purpose behind this is that model is regularly experienced in refineries in a type of steam turbine that utilization hydraulic governor to control the speed of the turbine. To suit plan prerequisites, a mathematical model for the turbine was determined in light of transfer function and state space definition. There are two sorts of controllers for steam turbines which are traditional and modern controllers. Internal mode control with proportional integral derivative (IMC-PID) and linear quadratic controller (LQR) are classical type. Fuzzy logic controller (FLC) and intelligent optimization techniques like, ant colony algorithm (ACOA) and genetic algorithm (GA) are modern type. The proposed work centers on classical verses modern controllers. Results got demonstrate that embracing such a controller (GA) improves the design requirements and transient stability. The system control was actualized in simulation utilizing MATLAB/Simulink.
{"title":"Steam turbine controllers design based on soft-computing techniques","authors":"Nasir Ahmed Alawaad","doi":"10.11591/IJRA.V9I4.PP281-291","DOIUrl":"https://doi.org/10.11591/IJRA.V9I4.PP281-291","url":null,"abstract":"Steam turbine is viewed as a standout among hotspots for control age in the most recent decades, its elements examination end up being dynamically more basic. For this investigation, the model chose is of turbine speed control framework. The purpose behind this is that model is regularly experienced in refineries in a type of steam turbine that utilization hydraulic governor to control the speed of the turbine. To suit plan prerequisites, a mathematical model for the turbine was determined in light of transfer function and state space definition. There are two sorts of controllers for steam turbines which are traditional and modern controllers. Internal mode control with proportional integral derivative (IMC-PID) and linear quadratic controller (LQR) are classical type. Fuzzy logic controller (FLC) and intelligent optimization techniques like, ant colony algorithm (ACOA) and genetic algorithm (GA) are modern type. The proposed work centers on classical verses modern controllers. Results got demonstrate that embracing such a controller (GA) improves the design requirements and transient stability. The system control was actualized in simulation utilizing MATLAB/Simulink.","PeriodicalId":73286,"journal":{"name":"IEEE International Conference on Robotics and Automation : ICRA : [proceedings]. IEEE International Conference on Robotics and Automation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43321878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-01DOI: 10.11591/IJRA.V9I4.PP271-280
Chi Nguyen Van
This paper presents the active suspension system (ASS) control method using the adaptive cascade control scheme. The control scheme is implemented by two control loops, the inner control loop and outer control loop are designed respectively. The inner control loop uses the pole assignment method in order to move the poles of the original system to desired poles respect to the required performance of the suspension system. To design the controller in the inner loop, the model without the noise caused by the road profile and velocity of the car is used. The outer control loop then designed with an adaptive mechanism calculates the active control force to compensate for the vibrations caused by the road profile and velocity of the car. The control force is determined by the error between states of the reference model and states of suspension systems, the reference model is the model of closed-loop with inner control loop without the noise. The simulation results implemented by using the practice date of the road profile show that the capability of oscillation decrease for ASS is quite efficient.
{"title":"The algorithm of adaptive control for active suspension systems using pole assign and cascade design method","authors":"Chi Nguyen Van","doi":"10.11591/IJRA.V9I4.PP271-280","DOIUrl":"https://doi.org/10.11591/IJRA.V9I4.PP271-280","url":null,"abstract":"This paper presents the active suspension system (ASS) control method using the adaptive cascade control scheme. The control scheme is implemented by two control loops, the inner control loop and outer control loop are designed respectively. The inner control loop uses the pole assignment method in order to move the poles of the original system to desired poles respect to the required performance of the suspension system. To design the controller in the inner loop, the model without the noise caused by the road profile and velocity of the car is used. The outer control loop then designed with an adaptive mechanism calculates the active control force to compensate for the vibrations caused by the road profile and velocity of the car. The control force is determined by the error between states of the reference model and states of suspension systems, the reference model is the model of closed-loop with inner control loop without the noise. The simulation results implemented by using the practice date of the road profile show that the capability of oscillation decrease for ASS is quite efficient.","PeriodicalId":73286,"journal":{"name":"IEEE International Conference on Robotics and Automation : ICRA : [proceedings]. IEEE International Conference on Robotics and Automation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45391682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, the application of cloud computing in the field of robotics is described. Dual robots are assigned the job of picking up objects lying on the floor and to keep them in the given spaces. In the co-operative environment both the robots try to follow their route of shortest path till such situations arise when either the object or the space has been exhausted. Then the robot searches for the next nearest object or space or the remaining object or space and act accordingly.
{"title":"Task Planning for Transportation of Multiple Objects by Dual Robots Using Cloud Computing","authors":"A. Kar","doi":"10.36959/673/368","DOIUrl":"https://doi.org/10.36959/673/368","url":null,"abstract":"In this paper, the application of cloud computing in the field of robotics is described. Dual robots are assigned the job of picking up objects lying on the floor and to keep them in the given spaces. In the co-operative environment both the robots try to follow their route of shortest path till such situations arise when either the object or the space has been exhausted. Then the robot searches for the next nearest object or space or the remaining object or space and act accordingly.","PeriodicalId":73286,"journal":{"name":"IEEE International Conference on Robotics and Automation : ICRA : [proceedings]. IEEE International Conference on Robotics and Automation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81175453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
It is estimated that the world population aged 65+ will triple from 6.9% to 20% by 2050 [1].
据估计，到2050年，世界65岁以上人口将增加两倍，从6.9%增加到20%[1]。
{"title":"The Future of Robots in a Super-Aged Society","authors":"A. Szczepura, T. Nomura, D. Wild","doi":"10.17352/ara.000005","DOIUrl":"https://doi.org/10.17352/ara.000005","url":null,"abstract":"It is estimated that the world population aged 65+ will triple from 6.9% to 20% by 2050 [1].","PeriodicalId":73286,"journal":{"name":"IEEE International Conference on Robotics and Automation : ICRA : [proceedings]. IEEE International Conference on Robotics and Automation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49462420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Coronavirus Pandemic and Future Possibilities in Robotics Research","authors":"Niku Dr. Saeed","doi":"10.36959/673/367","DOIUrl":"https://doi.org/10.36959/673/367","url":null,"abstract":"","PeriodicalId":73286,"journal":{"name":"IEEE International Conference on Robotics and Automation : ICRA : [proceedings]. IEEE International Conference on Robotics and Automation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42485104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper developed and investigates the performance of intelligent algorithms in order to stabilize the robot when it is tracking to the desired reference. One type of robot is a Two Wheeled Balancing Mobile Robot (TWBMR) that requires control for both balancing and maneuvering. Combination artificial intelligence, Neural Networks (NNs) and Fuzzy Logic Control (FLC) have been recognized as the main tools to improve the performance of coupling nonlinear robot system without using any mathematical model. The input-output data of TWBMR generated from closed loop control system is used to develop a neural network model. In this study, neural networks model can be trained offline and then transferred into a process where an adaptive online learning is carried out using Adaptive Network Based Fuzzy Inference System (ANFIS) to improve the system performance. The simulation results verify that the considered identification and control strategies can achieve favorable control performance. The ANFIS control design approach does not require an accurate model of the plant as classical controller. In addition, high-level knowledge of the system is not needed to build a set of rules as a fuzzy controller.
{"title":"Neural Networks Identification and Control of Mobile Robot Using Adaptive Neuro Fuzzy Inference System","authors":"A. Abougarair","doi":"10.11591/IJRA.V9I4.PP%P","DOIUrl":"https://doi.org/10.11591/IJRA.V9I4.PP%P","url":null,"abstract":"This paper developed and investigates the performance of intelligent algorithms in order to stabilize the robot when it is tracking to the desired reference. One type of robot is a Two Wheeled Balancing Mobile Robot (TWBMR) that requires control for both balancing and maneuvering. Combination artificial intelligence, Neural Networks (NNs) and Fuzzy Logic Control (FLC) have been recognized as the main tools to improve the performance of coupling nonlinear robot system without using any mathematical model. The input-output data of TWBMR generated from closed loop control system is used to develop a neural network model. In this study, neural networks model can be trained offline and then transferred into a process where an adaptive online learning is carried out using Adaptive Network Based Fuzzy Inference System (ANFIS) to improve the system performance. The simulation results verify that the considered identification and control strategies can achieve favorable control performance. The ANFIS control design approach does not require an accurate model of the plant as classical controller. In addition, high-level knowledge of the system is not needed to build a set of rules as a fuzzy controller.","PeriodicalId":73286,"journal":{"name":"IEEE International Conference on Robotics and Automation : ICRA : [proceedings]. IEEE International Conference on Robotics and Automation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47107710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Roopsandeep Bammidi, N. Teja, S. Babu, P. S. R. Reddy, N. Akhil, O. Prakashini
From past decades, the different types of mechanisms in mobile robots have been created so far which includes legged, treaded-tyre and wheeled type robots. Among these types, the wheeled type is easiest to control while the treaded-tyre type offers improved flexibility. Legged locomotion, though not widely used for industrial purposes, has growing implications mainly due to its ease of maneuvering in rough terrains. The Walking motion is obtained through various mechanisms. Most obvious of these is the crank and rocker mechanism, which gives a walking style characteristic of human being. The present research work uses a different type of mechanism for driving a biped that is most distinguished by its ease of operation that produces a type of ‘walk’ similar to that of two legged mammals. In this research initially, a multi-objective optimization is carried out for the optimal design of the mechanism. This research involves a simulation of a simple Biped model using Crank-Rocker mechanism. The design of the biped robot is done by considering two important objective parameters stride and lift, a multi objective function must be created and optimization is done by using MATLAB Programming.
{"title":"A Multi Objective Function and Optimal Design of BAM Using MATLAB","authors":"Roopsandeep Bammidi, N. Teja, S. Babu, P. S. R. Reddy, N. Akhil, O. Prakashini","doi":"10.11591/IJRA.V9I3.PP%P","DOIUrl":"https://doi.org/10.11591/IJRA.V9I3.PP%P","url":null,"abstract":"From past decades, the different types of mechanisms in mobile robots have been created so far which includes legged, treaded-tyre and wheeled type robots. Among these types, the wheeled type is easiest to control while the treaded-tyre type offers improved flexibility. Legged locomotion, though not widely used for industrial purposes, has growing implications mainly due to its ease of maneuvering in rough terrains. The Walking motion is obtained through various mechanisms. Most obvious of these is the crank and rocker mechanism, which gives a walking style characteristic of human being. The present research work uses a different type of mechanism for driving a biped that is most distinguished by its ease of operation that produces a type of ‘walk’ similar to that of two legged mammals. In this research initially, a multi-objective optimization is carried out for the optimal design of the mechanism. This research involves a simulation of a simple Biped model using Crank-Rocker mechanism. The design of the biped robot is done by considering two important objective parameters stride and lift, a multi objective function must be created and optimization is done by using MATLAB Programming.","PeriodicalId":73286,"journal":{"name":"IEEE International Conference on Robotics and Automation : ICRA : [proceedings]. IEEE International Conference on Robotics and Automation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91397973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.11591/IJRA.V9I3.PP196-210
E. Joseph, Georgewill Oyengiye Moses
Tethered underwater robot (TUR) for underwater vessel anchor release is presented. In off-shore oil and gas enviromnment, there has been series of reported cases on stuck vessel anchors after mooring operations and divers are sent to release these anchors for the vessels to be in motion. The use of divers to perform such function is very risky because of human limitation and some divers have been reported dead on the process due to high pressure underwater or being attacked by underwater wide animals. This has caused very serious panic to the vessel owners and hence, this work is aimed to develop TUR that would be used by the vessel operators instead of divers to release the stuck anchor without loss. The underwater robot system comprises of three basic sections namely graphical user control interface (GUCI) that would be installed in the operator’s laptop, the WiFi LAN router for network connection, and TUR system hardware and software. Each of these sections was strictly designed. Various high-level programming languages were employed to design the GUCI and code the interface buttons, robot controller program codes etc. The implementation carried out and the prototype system tested in the University of Port Harcourt’s swimming pool of 6m depth for validation. The robot performed extremely good in swimming and release of constructed anchor underwater.
{"title":"Prototype development of tethered underwater robot for underwater vessel anchor release","authors":"E. Joseph, Georgewill Oyengiye Moses","doi":"10.11591/IJRA.V9I3.PP196-210","DOIUrl":"https://doi.org/10.11591/IJRA.V9I3.PP196-210","url":null,"abstract":"Tethered underwater robot (TUR) for underwater vessel anchor release is presented. In off-shore oil and gas enviromnment, there has been series of reported cases on stuck vessel anchors after mooring operations and divers are sent to release these anchors for the vessels to be in motion. The use of divers to perform such function is very risky because of human limitation and some divers have been reported dead on the process due to high pressure underwater or being attacked by underwater wide animals. This has caused very serious panic to the vessel owners and hence, this work is aimed to develop TUR that would be used by the vessel operators instead of divers to release the stuck anchor without loss. The underwater robot system comprises of three basic sections namely graphical user control interface (GUCI) that would be installed in the operator’s laptop, the WiFi LAN router for network connection, and TUR system hardware and software. Each of these sections was strictly designed. Various high-level programming languages were employed to design the GUCI and code the interface buttons, robot controller program codes etc. The implementation carried out and the prototype system tested in the University of Port Harcourt’s swimming pool of 6m depth for validation. The robot performed extremely good in swimming and release of constructed anchor underwater.","PeriodicalId":73286,"journal":{"name":"IEEE International Conference on Robotics and Automation : ICRA : [proceedings]. IEEE International Conference on Robotics and Automation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46204750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.11591/IJRA.V9I3.PP178-189
Khongsak Srasrisom, P. Srinoi, S. Chaijit, F. Wiwatwongwana
The application of robot simulation tools for modelling, analysis and improvement of existing industrial manufacturing cells is presented with reference to the development and implementation of the Digital Factory concept. A real case study of aerosol can packaging and palletizing cell scenario in the metal can manufacturing industry for containing food and products is used as a reference in this paper. For studying manual aerosol can packaging and palletizing conditions of the worker, a detailed Time and Motion analysis of workers is carried out. On the basis of cycle time analysis results, an alternative to the manual operation, a more sophisticated automated packaging and palletizing system is suggested. A proposed system which uses a robotic manipulator including automated production machine and devices are also developed and tested. The viability of the suggested system is checked through simulation and cycle time analysis. A Fuzzy Logic software, MATLAB is employed in order to analyse the actual system’s behaviour in terms of productivity, and utilization of the available facilities. The 3D simulation software, DELMIA V6 is additionally employed to perform a detailed design phase of the manufacturing cell. From the simulation results, this gives a rough approximation that the production of one robotized manipulator, and automated packaging and palletizing cell is equal to the production of about 4.3 manual packaging and palletizing cells. These results have shown the need for change to automation in the aerosol can packaging and palletizing system.
{"title":"Improvement of an automated CAN packaging system based on modeling and analysis approach through robot simulation tools","authors":"Khongsak Srasrisom, P. Srinoi, S. Chaijit, F. Wiwatwongwana","doi":"10.11591/IJRA.V9I3.PP178-189","DOIUrl":"https://doi.org/10.11591/IJRA.V9I3.PP178-189","url":null,"abstract":"The application of robot simulation tools for modelling, analysis and improvement of existing industrial manufacturing cells is presented with reference to the development and implementation of the Digital Factory concept. A real case study of aerosol can packaging and palletizing cell scenario in the metal can manufacturing industry for containing food and products is used as a reference in this paper. For studying manual aerosol can packaging and palletizing conditions of the worker, a detailed Time and Motion analysis of workers is carried out. On the basis of cycle time analysis results, an alternative to the manual operation, a more sophisticated automated packaging and palletizing system is suggested. A proposed system which uses a robotic manipulator including automated production machine and devices are also developed and tested. The viability of the suggested system is checked through simulation and cycle time analysis. A Fuzzy Logic software, MATLAB is employed in order to analyse the actual system’s behaviour in terms of productivity, and utilization of the available facilities. The 3D simulation software, DELMIA V6 is additionally employed to perform a detailed design phase of the manufacturing cell. From the simulation results, this gives a rough approximation that the production of one robotized manipulator, and automated packaging and palletizing cell is equal to the production of about 4.3 manual packaging and palletizing cells. These results have shown the need for change to automation in the aerosol can packaging and palletizing system.","PeriodicalId":73286,"journal":{"name":"IEEE International Conference on Robotics and Automation : ICRA : [proceedings]. IEEE International Conference on Robotics and Automation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46911727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.11591/IJRA.V9I3.PP160-170
A. Abougarair, Ali S. Elmolihi
Robots have been used in many applications in the past few decades. Moreover, due to high nonlinearity behavior of these systems, an optimal and robust control design approaches have been considered to stabilize and improve their performance and robustness. The uncertainties of the time delay on the output states of the mobile robot system have a significant influence on the system nominal performance. As a result, the work becomes here to address the influence of these uncertainties on the robot system performance. In order to achieve this objective, the nonlinear controller via sliding mode control (SMC) is designed by selecting a suitable sliding surface dynamics in which the considered robot displacement and tilt angle are sliding on. The lyapunov function is considered here to accomplish the design of the sliding control signals for robot stabilization. Furthermore, the stability of the considered system is guaranteed due to convergence of the lyapunov functions into zero when the state trajectories tend to desired set points. In addition, we consider the trajectory tracking and stabilization of TWBMR system using parallel double loop PID controllers whose controllers gains are tuning via Linear Quadratic Regulator (LQR) approach. Finally, to demonstrate the effectiveness of SMC and PID-LQR design methods, the comparison is carried out when the nominal and uncertain conditions.
{"title":"Robust control and optimized parallel control double loop design for mobile robot","authors":"A. Abougarair, Ali S. Elmolihi","doi":"10.11591/IJRA.V9I3.PP160-170","DOIUrl":"https://doi.org/10.11591/IJRA.V9I3.PP160-170","url":null,"abstract":"Robots have been used in many applications in the past few decades. Moreover, due to high nonlinearity behavior of these systems, an optimal and robust control design approaches have been considered to stabilize and improve their performance and robustness. The uncertainties of the time delay on the output states of the mobile robot system have a significant influence on the system nominal performance. As a result, the work becomes here to address the influence of these uncertainties on the robot system performance. In order to achieve this objective, the nonlinear controller via sliding mode control (SMC) is designed by selecting a suitable sliding surface dynamics in which the considered robot displacement and tilt angle are sliding on. The lyapunov function is considered here to accomplish the design of the sliding control signals for robot stabilization. Furthermore, the stability of the considered system is guaranteed due to convergence of the lyapunov functions into zero when the state trajectories tend to desired set points. In addition, we consider the trajectory tracking and stabilization of TWBMR system using parallel double loop PID controllers whose controllers gains are tuning via Linear Quadratic Regulator (LQR) approach. Finally, to demonstrate the effectiveness of SMC and PID-LQR design methods, the comparison is carried out when the nominal and uncertain conditions.","PeriodicalId":73286,"journal":{"name":"IEEE International Conference on Robotics and Automation : ICRA : [proceedings]. IEEE International Conference on Robotics and Automation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41381350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：