58 citations · 300 across the 26 of their papers we have counts for
5 papers · 1 filter
NOPA: Neurally-guided Online Probabilistic Assistance for Building Socially Intelligent Home Assistants
Xavier Puig, Tianmin Shu, Joshua B. Tenenbaum +1
In this work, we study how to build socially intelligent robots to assist people in their homes. In particular, we focus on assistance with online goal inference, where robots must…
Incorporating Rich Social Interactions Into MDPs
Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu +5
Much of what we do as humans is engage socially with other agents, a skill that robots must also eventually possess. We demonstrate that a rich theory of social interactions origin…
Show Me What You Can Do: Capability Calibration on Reachable Workspace for Human-Robot Collaboration
Xiaofeng Gao, Luyao Yuan, Tianmin Shu +2
Aligning humans' assessment of what a robot can do with its true capability is crucial for establishing a common ground between human and robot partners when they collaborate on a…
Learning Social Affordance Grammar from Videos: Transferring Human Interactions to Human-Robot Interactions
Tianmin Shu, Xiaofeng Gao, Michael S. Ryoo +1
In this paper, we present a general framework for learning social affordance grammar as a spatiotemporal AND-OR graph (ST-AOG) from RGB-D videos of human interactions, and transfer…
Learning Social Affordance for Human-Robot Interaction
Tianmin Shu, M. S. Ryoo, Song-Chun Zhu
In this paper, we present an approach for robot learning of social affordance from human activity videos. We consider the problem in the context of human-robot interaction: Our app…