Human-Assistive Robotic Technologies Lab at UC Berkeley (HART)

Ruzena Bajcsy, Gregorij Kurillo, Robert Matthew, Aaron Bestick, Katherine Driggs Campbell, Daniel Aranki, Laura Hallock, Sarah Seko, Vijay Govindarajan, McInroe Ben and David Anton Saez

National Science Foundation, Siemens, ONR/MURI and National Institute of Health

Robotics, as a field, provides excellent tools for modeling human capabilities and limitations — and the field is, in turn, in great need of those models. Here at the HART Lab, we work to model and develop robust human-centered systems at many levels of abstraction for a wide range of applications.

[1]
Robert Peter Matthew, Eric John Mica, Waiman Meinhold, Joel Alfredo Loeza, Masayoshi Tomizuka, and Ruzena Bajcsy. Introduction and initial exploration of an active/passive exoskeleton framework for portable assistance. In Intelligent Robots and Systems (IROS), 2015 IEEE/RSJ International Conference on, pages 5351–5356. IEEE, 2015.
[2]
David Anton, Gregorij Kurillo, Allen Y Yang, and Ruzena Bajcsy. Augmented telemedicine platform for real-time remote medical consultation. In International Conference on Multimedia Modeling, pages 77–89. Springer, 2017.
[3]
Daniel Aranki, Gregorij Kurillo, Adarsh Mani, Phillip Azar, Jochem Van Gaalen, Quan Peng, Priyanka Nigam, Maya P Reddy, Sneha Sankavaram, Qiyin Wu, et al. A telemonitoring framework for android devices. In Connected Health: Applications, Systems and Engineering Technologies (CHASE), 2016 IEEE First International Conference on, pages 282–291. IEEE, 2016.
[4]
Tara Rezvani, Katherine Driggs-Campbell, Dorsa Sadigh, S Shankar Sastry, Sanjit A Seshia, and Ruzena Bajcsy. Towards trustworthy automation: User interfaces that convey internal and external awareness. In Intelligent Transportation Systems (ITSC), 2016 IEEE 19th International Conference on, pages 682–688. IEEE, 2016.
[5]
Aaron Bestick, Ruzena Bajcsy, and Anca D Dragan. Implicitly assisting humans to choose good grasps in robot to human handovers. In Experimental Robotics (ISER), 2016 International Symposium on. 2016.
[6]
Laura Hallock, Robert Matthew, Sarah Seko, and Ruzena Bajcsy. Sensor-driven musculoskeletal dynamic modeling. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2016.

More information: http://hart.berkeley.edu/