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2012 IEEE/RSJ International Conference on Intelligent Robots and Systems最新文献

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Locomotion with continuum limbs 肢体连续运动
Pub Date : 2012-12-24 DOI: 10.1109/IROS.2012.6385810
I. Godage, D. Nanayakkara, D. Caldwell
This paper presents the kinematics, dynamics, and experimental results for a novel quadruped robot using continuum limbs. We propose soft continuum limbs as a new paradigm for robotic locomotion in unstructured environments due to their potential to generate a wide array of locomotion behaviors ranging from walking, trotting, crawling, and propelling to whole arm grasping as a means of negotiating difficult obstacles. A straightforward method to derive the kinematics and dynamics for the proposed quadruped has been demonstrated through numerical simulations. Initial experiments on a prototype continuum quadruped demonstrate the ability to stand up from a flat-belly stance, absorb external disturbances such as maintaining stability after dropping from a height and after being perturbed by a collision, and crawling on flat and cluttered environments. Experiment results provide evidence that locomotion with soft continuum limbs are feasible and usable in unstructured environments for variety of applications.
本文介绍了一种新型连续四肢四足机器人的运动学、动力学和实验结果。我们提出软连续肢作为机器人在非结构化环境中运动的新范式,因为它们有可能产生广泛的运动行为,从行走、小跑、爬行、推进到整个手臂抓取作为一种通过困难障碍物的手段。通过数值模拟证明了一种简单的方法来推导所提出的四足动物的运动学和动力学。在原型连续四足动物身上进行的初步实验表明,它能够从平腹的姿势站起来,吸收外部干扰,比如在从高处坠落和受到碰撞干扰后保持稳定,以及在平坦和杂乱的环境中爬行。实验结果证明,在非结构化环境下,柔性连续肢体运动是可行的,可用于各种应用。
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引用次数: 58
Understanding soft tissue behavior for microlaparoscopic surface scan 了解显微腹腔镜表面扫描的软组织行为
Pub Date : 2012-12-24 DOI: 10.1109/IROS.2012.6385915
M. S. Erden, Benoît Rosa, J. Szewczyk, G. Morel
This paper presents an approach for understanding the soft tissue behavior in surface contact with a hard object scanning the tissue. The application domain is confocal microlaparoscope imaging, mostly used for imaging the outer surface of the organs in the abdominal cavity. The probe (optic-head) is swept over the tissue to collect sequential images to obtain a large field of view with mosaicing. The problem we address is that the tissue also moves with the probe due to its softness; therefore the resulting mosaic is not in the same shape and dimension as traversed by the probe. Our approach inspires from the finger slip studies and adapts the idea of load-and-slip that explains the movement of the finger when dragged on a hard surface. We propose the concept of loading-distance and perform measurements with in total 84 experiments on beef liver and chicken breast tissues. Our results indicate that the loading-distance can be measured prior to a scan and be used during the scan in order to compensate the movement of the probe. In this way we can have an image-mosaic of the tissue surface in a desired shape.
本文提出了一种通过扫描软组织与硬物表面接触来理解软组织行为的方法。应用领域为共聚焦显微腹腔镜成像,多用于对腹腔内器官外表面的成像。探头(光学头)在组织上扫描,收集序列图像,以获得大范围的拼接视野。我们要解决的问题是,由于软组织的柔软性,它也会随着探针移动;因此,所得到的马赛克的形状和尺寸与探针穿过的形状和尺寸不同。我们的方法是从手指滑动研究中获得灵感,并适应了解释手指在坚硬表面上被拖拽时的运动的载荷和滑动的想法。本文提出了载荷距离的概念,并对牛肝和鸡胸组织进行了84次实验。我们的结果表明,加载距离可以在扫描之前测量,并在扫描期间使用,以补偿探针的运动。通过这种方式,我们可以得到组织表面所需形状的图像镶嵌。
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引用次数: 6
Proprioceptive magnetic-field sensing for closed-loop control of magnetic capsule endoscopes 用于磁胶囊内窥镜闭环控制的本体感觉磁场传感
Pub Date : 2012-12-24 DOI: 10.1109/IROS.2012.6385708
Katie M. Miller, A. Mahoney, T. Schmid, J. Abbott
The small intestine is the longest part of the gastrointestinal (GI) tract, but it is difficult to examine with traditional endoscopic procedures. To resolve this, swallowable capsules have been created that slowly pass through the entire GI tract taking images. Research is currently being done in magnetic actuation and localization to increase the speed and control of these smart pills. This paper focuses on a technique to more efficiently control a capsule endoscope based on proprioceptive sensing of the magnetic field. This sensing provides knowledge of the applied field in the frame of the capsule, and enables determination of its current state.
小肠是胃肠道最长的部分,但很难用传统的内窥镜检查。为了解决这个问题,人们发明了一种可吞咽的胶囊,它可以缓慢地通过整个胃肠道拍摄图像。目前正在进行磁驱动和定位的研究,以提高这些智能药丸的速度和控制能力。本文研究了一种基于磁场本体感觉的胶囊内窥镜控制技术。这种感知提供了胶囊框架中应用领域的知识,并能够确定其当前状态。
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引用次数: 27
Equivalent negative stiffness mechanism using three bundled needles inspired by mosquito for achieving easy insertion 等效负刚度机构采用三束针的蚊子启发,实现方便插入
Pub Date : 2012-12-24 DOI: 10.1109/IROS.2012.6386088
S. Aoyagi, Y. Takaoki, Hiroki Takayanagi, Chih-hao Huang, Takahiro Tanaka, Masato Suzuki, Tomokazu Takahashi, T. Kanzaki, T. Matsumoto
The mosquito proboscis is composed of seven micro parts. Among them, labrum and maxillae play important roles in insertion. The labrum is a central needle which sucks blood; two maxillae are left/right needles aside the labrum, respectively. They cooperatively move, i.e., one maxilla goes forward, labrum goes forward, another maxilla goes forward, successively. We noticed that the maxilla has a jagged harpoon-like shape on its tip area, which has an anchoring effect. We proposed the easy insertion mechanism as follows: the equivalent stiffness, which is the ratio of the resistance force relative to the moving distance, is considered. The total stiffness in pushing out the central needle can be made smaller than zero due to the anchoring effect of the side needles. We named it as “negative stiffness mechanism.” Equivalent stiffness during pulling/pushing a fabricated needle was experimentally estimated, which indicated the validity of proposed mechanism.
蚊子的喙由七个微小的部分组成。其中唇、上颌骨在植入中起重要作用。唇是吸血的中心针;两个上唇分别在唇边的左/右针处。它们合作移动,也就是说,一个上颌骨向前,唇向前,另一个上颌骨向前,依次向前。我们注意到,它的上颌骨顶端有一个锯齿状的鱼叉状的形状,具有锚定的作用。我们提出的易插入机构如下:考虑等效刚度,即阻力与移动距离的比值。由于侧针的锚定作用,可使中心针推出时的总刚度小于零。我们将其命名为"负刚度机构"实验估计了制针拉/推过程中的等效刚度,验证了所提机制的有效性。
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引用次数: 16
Null space optimization for effective coverage of 3D surfaces using redundant manipulators 零空间优化的有效覆盖三维表面使用冗余操纵
Pub Date : 2012-12-24 DOI: 10.1109/IROS.2012.6385960
Jürgen Hess, Gian Diego Tipaldi, Wolfram Burgard
In this paper we consider the problem of null space minimization in coverage path planning of 3D surfaces for redundant manipulators. Existing coverage solutions only focus on Euclidean cost functions and often return suboptimal paths with respect to the joint space. In the approach described here, we explicitly consider the null space by treating different inverse kinematics solutions as individual nodes in a graph and model the problem as a generalized traveling salesman problem (GTSP). The GTSP is a generalization of the TSP where the nodes of the graph are subdivided into clusters and at least one node in each cluster needs to be visited. We evaluate our approach using a PR2 robot and complex objects. Our results demonstrate that our method outperforms Euclidean coverage algorithms in terms of manipulation effort and completion time.
研究了三维曲面上冗余机械手覆盖路径规划中的零空间最小化问题。现有的覆盖解决方案只关注欧几里得代价函数,并且通常返回相对于联合空间的次优路径。在这里描述的方法中,我们通过将不同的逆运动学解作为图中的单个节点来明确地考虑零空间,并将问题建模为广义旅行推销员问题(GTSP)。GTSP是TSP的推广,其中图的节点被细分为簇,并且每个簇中至少需要访问一个节点。我们使用PR2机器人和复杂物体来评估我们的方法。我们的结果表明,我们的方法在操作工作量和完成时间方面优于欧几里得覆盖算法。
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引用次数: 46
Robots move: Bootstrapping the development of object representations using sensorimotor coordination 机器人移动:利用感觉运动协调引导物体表征的发展
Pub Date : 2012-12-24 DOI: 10.1109/IROS.2012.6385770
Arren J. Glover, G. Wyeth
This paper is concerned with the unsupervised learning of object representations by fusing visual and motor information. The problem is posed for a mobile robot that develops its representations as it incrementally gathers data. The scenario is problematic as the robot only has limited information at each time step with which it must generate and update its representations. Object representations are refined as multiple instances of sensory data are presented; however, it is uncertain whether two data instances are synonymous with the same object. This process can easily diverge from stability. The premise of the presented work is that a robot's motor information instigates successful generation of visual representations. An understanding of self-motion enables a prediction to be made before performing an action, resulting in a stronger belief of data association. The system is implemented as a data-driven partially observable semi-Markov decision process. Object representations are formed as the process's hidden states and are coordinated with motor commands through state transitions. Experiments show the prediction process is essential in enabling the unsupervised learning method to converge to a solution - improving precision and recall over using sensory data alone.
本文研究了融合视觉和运动信息的无监督学习方法。这个问题是针对一个移动机器人提出的,它在逐渐收集数据的过程中发展自己的表示。这个场景是有问题的,因为机器人在每个时间步只有有限的信息,它必须生成和更新它的表示。对象表示被细化为多个感官数据的实例;但是,不确定两个数据实例是否与同一对象同义。这个过程很容易偏离稳定性。提出的工作的前提是,机器人的运动信息煽动成功的视觉表征的产生。对自我运动的理解可以在执行动作之前进行预测,从而增强对数据关联的信念。该系统被实现为数据驱动的部分可观察的半马尔可夫决策过程。对象表示形成为进程的隐藏状态,并通过状态转换与运动命令协调。实验表明,预测过程是使无监督学习方法收敛到一个解决方案的关键-提高精度和召回比单独使用感官数据。
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引用次数: 1
Control of contact forces: The role of tactile feedback for contact localization 接触力的控制:触觉反馈对接触定位的作用
Pub Date : 2012-12-24 DOI: 10.1109/IROS.2012.6385803
A. Prete, F. Nori, G. Metta, L. Natale
This paper investigates the role of precise estimation of contact points in force control. This analysis is motivated by scenarios in which robots make contacts, either voluntarily or accidentally, with different parts of their body. Control paradigms that are usually implemented in robots with no tactile system, make the hypothesis that contacts occur at the end-effectors only. In this paper we try to investigate what happens when this assumption is not verified. First we consider a simple feedforward force control law, and then we extend it by introducing a proportional feedback term. For both controllers we find the error in the resulting contact force, that is induced by a hypothetic error in the estimation of the contact point. We show that, depending on the geometry of the contact, incorrect estimation of contact points can induce undesired joint accelerations. We validate the presented analysis with tests on a simulated robot arm. Moreover we consider a complex real world scenario, where most of the assumptions that we make in our analytical derivation do not hold. Through tests on the iCub humanoid robot we see how errors in contact localization affect the performance of a parallel force/position controller. In order to estimate contact points and contact forces on the forearm of the iCub we do not use any model of the environment, but we exploit its 6-axis force/torque sensor and its sensorized skin.
本文研究了接触点的精确估计在力控制中的作用。这种分析的动机是机器人主动或无意地与身体的不同部位进行接触的场景。通常在没有触觉系统的机器人中实现的控制范式,假设接触只发生在末端执行器上。在本文中,我们试图研究当这个假设没有得到验证时会发生什么。首先考虑一个简单的前馈力控制律,然后通过引入比例反馈项对其进行扩展。对于这两种控制器,我们发现了结果接触力的误差,这是由接触点估计中的假设误差引起的。我们表明,根据接触的几何形状,接触点的不正确估计会导致不希望的关节加速度。我们通过模拟机械臂的测试验证了所提出的分析。此外,我们考虑了一个复杂的现实世界场景,其中我们在分析推导中所做的大多数假设都不成立。通过对iCub人形机器人的测试,我们看到了接触定位误差如何影响并联力/位置控制器的性能。为了估计iCub前臂上的接触点和接触力,我们没有使用任何环境模型,但我们利用了它的6轴力/扭矩传感器及其传感器皮肤。
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引用次数: 22
State estimation for highly dynamic flying systems using key frame odometry with varying time delays 基于变时滞关键帧里程法的高动态飞行系统状态估计
Pub Date : 2012-12-24 DOI: 10.1109/IROS.2012.6385969
Korbinian Schmid, Felix Ruess, M. Suppa, Darius Burschka
System state estimation is an essential part for robot navigation and control. A combination of Inertial Navigation Systems (INS) and further exteroceptive sensors such as cameras or laser scanners is widely used. On small robotic systems with limitations in payload, power consumption and computational resources the processing of exteroceptive sensor data often introduces time delays which have to be considered in the sensor data fusion process. These time delays are especially critical in the estimation of system velocity. In this paper we present a state estimation framework fusing an INS with time delayed, relative exteroceptive sensor measurements. We evaluate its performance for a highly dynamic flight system trajectory including a flip. The evolution of velocity and position errors for varying measurement frequencies from 15Hz to 1Hz and time delays up to 1s is shown in Monte Carlo simulations. The filter algorithm with key frame based odometry permits an optimal, local drift free navigation while still being computationally tractable on small onboard computers. Finally, we present the results of the algorithm applied to a real quadrotor by flying from inside a house out through the window.
系统状态估计是机器人导航和控制的重要组成部分。惯性导航系统(INS)和其他外感传感器(如摄像头或激光扫描仪)的组合被广泛使用。在载荷、功耗和计算资源有限的小型机器人系统中,外感传感器数据的处理通常会引入时间延迟,这在传感器数据融合过程中必须加以考虑。这些时间延迟在估计系统速度时尤为重要。在本文中,我们提出了一种融合了时滞、相对外感知传感器测量的惯性系统状态估计框架。我们评估了它的性能高动态飞行系统的轨迹,包括翻转。蒙特卡罗模拟显示了在15Hz到1Hz的测量频率范围内,速度误差和位置误差随时间延迟的变化规律。基于关键帧里程计的滤波算法允许最优的、局部无漂移的导航,同时仍然在小型机载计算机上计算易于处理。最后,我们提出的结果,该算法应用于一个真正的四旋翼从房子里飞出来通过窗口。
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引用次数: 45
Compliance-based dynamic steering for hexapods 基于顺应性的六足动态转向
Pub Date : 2012-12-24 DOI: 10.1109/IROS.2012.6385663
David Zarrouk, R. Fearing
This paper proposes a novel dynamic gait of locomotion for hexapedal robots which enables them to crawl forward, backward, and rotate using a single actuator. The gait exploits the compliance difference between the two sides of the tripods, to generate clockwise or counter clockwise rotation by controlling the acceleration of the robot. The direction of turning depends on the configuration of the legs -tripod left of right- and the direction of the acceleration. Alternating acceleration in successive steps allows for continuous rotation in the desired direction. An analysis of the locomotion is presented as a function of the mechanical properties of the robot and the contact with the surface. A numerical simulation was performed for various conditions of locomotion. The results of the simulation and analysis were compared and found to be in excellent match.
提出了一种新型的六足机器人动态运动步态,使六足机器人能够在单一驱动器的作用下向前、向后和旋转爬行。步态利用三脚架两侧的顺应性差异,通过控制机器人的加速度来产生顺时针或逆时针的旋转。转弯的方向取决于腿的结构——三脚架的左或右——以及加速度的方向。交替加速在连续的步骤允许在所需的方向连续旋转。分析了机器人的运动作为机械性能和与表面接触的函数。对不同的运动条件进行了数值模拟。将仿真结果与分析结果进行了比较,发现两者非常吻合。
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引用次数: 17
A brain-robot interface for studying motor learning after stroke 研究中风后运动学习的脑-机器人接口
Pub Date : 2012-12-24 DOI: 10.1109/IROS.2012.6385646
Timm Meyer, Jan Peters, Doris Brtz, T. Zander, B. Scholkopf, S. Soekadar, M. Grosse-Wentrup
Despite intensive efforts, no significant benefit of rehabilitation robotics in post-stroke motor-recovery has yet been demonstrated in large-scale clinical trials. The present work is based on the premise that future advances in rehabilitation robotics require an enhanced understanding of the neural processes involved in motor learning after stroke. We present a system that combines a Barret WAM™seven degree-of-freedom robot arm with neurophysiological recordings for the purpose of studying post-stroke motor learning. We used this system to conduct a pilot study on motor learning during reaching movements with two stroke patients. Preliminary results indicate that pre-trial brain activity in ipsilesional sensorimotor areas may be a neural correlate of the current state of motor learning. These results are discussed in terms of their relevance for future rehabilitation strategies that combine rehabilitation robotics with real-time analyses of neuro-physiological recordings.
尽管付出了巨大的努力,但在大规模的临床试验中,康复机器人在中风后运动恢复方面还没有显著的好处。目前的工作是基于这样一个前提,即康复机器人的未来发展需要加强对中风后运动学习所涉及的神经过程的理解。我们提出了一种系统,该系统结合了Barret WAM™七自由度机械臂和神经生理学记录,用于研究中风后的运动学习。我们使用这个系统对两名中风患者进行了一项接触运动时的运动学习的初步研究。初步结果表明,实验前同侧感觉运动区域的大脑活动可能是当前运动学习状态的神经关联。这些结果与未来康复策略的相关性进行了讨论,这些策略将康复机器人技术与神经生理记录的实时分析相结合。
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引用次数: 22
期刊
2012 IEEE/RSJ International Conference on Intelligent Robots and Systems
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