References

[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