Robotics & automation for societal good bridging competitions & challenges and technology & public policy

R. Madhavan
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Abstract

Recent developments in robotics, automation, and artificial intelligence accompanied by the confusion and concerns surrounding their societal impacts (e.g., self-driving cars, drones, and robots equated to job losses) only fuel the speculation of their negative effects while making the discussion imbalanced and skewed. Consequently, there exists a huge disconnect between what is possible from an engineering viewpoint and what the expectations of the general public are. While the source of this disconnect can be conveniently blamed on Hollywood movies and alarmist opinions reported by the media, the scientific community also can be held accountable, at least partly, for some of these confusions and exaggerations. Fundamentally, the problem lies in the fact that we have not seen many practical, robust, and affordable solutions that can make a difference in the quality of lives of end-users. My previous work focused on performance evaluation, benchmarking and standardization of intelligent systems (mostly ground robots). My current work focuses on the applied use of robotics and automation technologies for the benefit of underserved and under-developed communities by working closely with them to develop solutions that showcase the effectiveness of solutions in domains that strike a chord with the beneficiaries. This is made possible by bringing together researchers, practitioners from industry, academia, local governments, and various entities such as the IEEE Robotics Automation Society's Special Interest Group on Humanitarian Technology (RAS-SIGHT), NGOs, and NPOs across the globe. In this keynote, I will discuss a demining challenge that I have been co-organizing with the intent of producing an open-source solution for detecting and classifying buried unexploded ordnance. I will also outline my recent efforts in the technology and public policy domains with emphasis on socio-economic, cultural, privacy, and security issues in developing and developed economies. Finally, I will draw my conclusions based on the competitions and challenges that have been organized from industrial, academic, and humanitarian viewpoints and how their impacts could be assessed.
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为社会造福的机器人和自动化,将竞争和挑战以及技术和公共政策联系起来
机器人技术、自动化和人工智能的最新发展伴随着对其社会影响的困惑和担忧(例如,自动驾驶汽车、无人机和机器人等同于失业),只会助长对其负面影响的猜测,同时使讨论变得不平衡和倾斜。因此,从工程的角度来看,什么是可能的,什么是公众的期望之间存在着巨大的脱节。虽然这种脱节的根源可以方便地归咎于好莱坞电影和媒体报道的危言耸听的观点,但科学界也可以对其中的一些混淆和夸大负责,至少部分负责。从根本上说,问题在于我们还没有看到许多切实可行的、强大的、负担得起的解决方案,这些解决方案可以改变最终用户的生活质量。我以前的工作重点是智能系统(主要是地面机器人)的性能评估、基准测试和标准化。我目前的工作重点是机器人和自动化技术的应用,通过与服务不足和欠发达的社区密切合作,开发解决方案,展示解决方案在与受益者共鸣的领域的有效性。通过将来自工业、学术界、地方政府和各种实体(如IEEE机器人自动化协会的人道主义技术特别兴趣小组(RAS-SIGHT)、非政府组织和全球非营利组织)的研究人员、实践者聚集在一起,这一切成为可能。在这个主题演讲中,我将讨论一个排雷挑战,我一直在共同组织一个开源解决方案,用于探测和分类埋在地下的未爆炸弹药。我还将概述我最近在技术和公共政策领域的努力,重点是发展中国家和发达经济体的社会经济、文化、隐私和安全问题。最后,我将根据从工业、学术和人道主义角度组织的竞赛和挑战,以及如何评估其影响,得出我的结论。
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