Computer science Ph.D. candidate.Yale University.Social Robotics
jake.brawer@yale.edu
[1] |
Meiying *Qin, Jake *Brawer, and Brian Scassellati.
Rapidly Learning Generalizable and Robot-Agnostic Tool-Use
Skills for a Wide Range of Tasks.
Frontiers in Robotics and AI, 8, 2021.
[ .pdf ]
Keywords: journal |
[2] |
Jake Brawer, Meiying Qin, and Brian Scassellati.
A causal approach to tool affordance learning.
In 2020 IEEE/RSJ International Conference on Intelligent Robots
and Systems (IROS), pages 8394--8399. IEEE, 2020.
[ .pdf ]
Keywords: conference |
[3] |
Zong Xuan Tan, Jake Brawer, and Brian Scassellati.
That's Mine! Learning Ownership Relations and Norms for
Robots .
Thirty-second AAAI conference on artificial intelligence, 2018.
[ .pdf ]
Keywords: conference |
[4] |
Brian Scassellati, Jake Brawer, Katherine Tsui, Setareh
Nasihati Gilani, Melissa Malzkuhn, Barbara Manini, Adam Stone, Geo
Kartheiser, Arcangelo Merla, Ari Shapiro, et al.
Teaching Language to Deaf Infants with a Robot and a Virtual
Human.
In Proceedings of the 2018 CHI Conference on Human Factors in
Computing Systems, page 553. ACM, 2018.
[ .pdf ]
Keywords: conference |
[5] |
Jake Brawer, Olivier Mangin, Alessandro Roncone, Sarah
Widder, and Brian Scassellati.
Situated Human--Robot Collaboration: predicting intent from
grounded natural language.
In Intelligent Robots and Systems (IROS), 2018.
[ .pdf ]
Keywords: conference |
[6] |
Jake Brawer, Aaron Hill, Ken Livingston, Eric Aaron, Joshua
Bongard, and John H Long Jr.
Epigenetic Operators and the evolution of Physically embodied
robots.
Frontiers in Robotics and AI, 4:1, 2017.
[ .pdf ]
Keywords: journal |