5 papers
Teaching Robots to Interpret Social Interactions through Lexically-guided Dynamic Graph Learning
Tongfei Bian, Mathieu Chollet, Tanaya Guha
For a robot to be called socially intelligent, it must be able to infer users internal states from their current behaviour, predict the users future behaviour, and if required, res…
ContactRL: Safe Reinforcement Learning based Motion Planning for Contact based Human Robot Collaboration
Sundas Rafat Mulkana, Ronyu Yu, Tanaya Guha +1
In collaborative human-robot tasks, safety requires not only avoiding collisions but also ensuring safe, intentional physical contact. We present ContactRL, a reinforcement learnin…
ZIP: Scalable Crowd Counting via Zero-Inflated Poisson Modeling
Yiming Ma, Victor Sanchez, Tanaya Guha
Most crowd counting methods directly regress blockwise density maps using Mean Squared Error (MSE) losses. This practice has two key limitations: (1) it fails to account for the ex…
Analyzing Character Representation in Media Content using Multimodal Foundation Model: Effectiveness and Trust
Evdoxia Taka, Debadyuti Bhattacharya, Joanne Garde-Hansen +2
Recent advances in AI has made automated analysis of complex media content at scale possible while generating actionable insights regarding character representation along such dime…
Robust Understanding of Human-Robot Social Interactions through Multimodal Distillation
Tongfei Bian, Mathieu Chollet, Tanaya Guha
There is a growing need for social robots and intelligent agents that can effectively interact with and support users. For the interactions to be seamless, the agents need to analy…