Collaborative Robotics & Adaptive Machines Lab

发现我们的重点

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The overarching theme of research at the Collaborative Robotics and Adaptive Machines Laboratory is to investigate the role of collaboration in robotics. Ideas are borrowed from diverse fields like bio-inspired robotics, 群体智慧, developmental psychology, 认知机器人, and human-robot collaboration. Our goals lie in combining new insights from these fields to design collaborative robots that cater to strategic areas—manufacturing and assistive robotics—of national interest. Our long-term scientific goals lie in using the results of such interdisciplinary research to understand the mechanisms of embodied cognition at closer resolutions.

Our research interests are:

  • Collaborative Robotics
  • Bio-inspired Robotics
  • 社会机器人
  • 群体智慧
  • 体现了认知

Explore Our 研究

  • Book published in the area of 群体智慧-based optimization. K. N. 凯帕和D. Ghose用. Glowworm Swarm Optimization: Theory, 算法, 和应用程序, Studies in Computational Intelligence, 卷. 698, Springer-Verlag, 2017. ISBN: 978-3-319-51594-6 (Print) 978-3-319-51595-3 (Online).
  • 最佳论文奖. ASME Computer-援助ed Product and Process Development Technical Committee's Prakash Krishnaswamy 最佳论文奖, ASME 国际 Design 工程 Technical Conferences & Computers and Information in 工程 Conference (IDETC/CIE), Cleveland, Ohio, USA, 2017.
  • Outstanding 教学 Award. For the graduate course, Planning for Autonomous Robots, taught at the University of Maryland in spring 2016.

  1. K. N. Kaipa,. S. Kankanhalli-Nagendra, N. B. Kumbla,年代. Shriyam,年代. S. Thevendria-Karthic, J. A. 漫威和S. K. 古普塔(2016). Addressing perception uncertainty induced failure modes in robotic bin-picking. Robotics and Computer Integrated Manufacturing 42(1), 17-38.
  2. C. W. 莫拉托,K. N. Kaipa和S. K. 古普塔(2014). Toward safe human-robot collaboration by using multiple Kinects based real-time human tracking. ASME Journal of Computing and Information Science in 工程, 14(1): 011006.
  3. C. W. 莫拉托,K. N. Kaipa和S. K. 古普塔(2013). Improving assembly precedence constraint generation by utilizing motion planning and part interaction clusters, Computer-援助ed Design, 45 (11): 1349-1364.
  4. K. N. Kaipa J. C. 邦加德和A. N. 迈尔左夫(2010). Self-discovery enables robot social cognition: Are you my teacher? Neural Networks, Special Issue on Social Cognition: Babies to Robots, 23(8-9): 1113-1124.
  5. K. N. 凯帕和D. Ghose用用(2009). Glowworm swarm optimization for simultaneous capture of multiple local optima of multimodal functions. 群体智慧, 3(2): 87-124.

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"It was very fun," Takhvar said. "I built a robot that did not walk very well, 说实话, but I learned that engineering is more than just one discipline. It's a combination of multiple skills from different fields that you need to utilize to complete a job." - Navy Veteran Davis Takhvar

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