Blog

Bootcamps

1. Gradient Descent
2. Backpropagation
3. Value Iteration and Q-Learning
4. Policy Iteration and REINFORCE
5. On v/s Off-Policy Learning
6. Deadly Triad
7. Variational Inference / ELBO
8. KKT Conditions

 

 

CORE Robotics Research

 

Effects of Anthropomorphism and Accountability on Trust in Human-Robot Interaction

Authors: Manisha Natrajan, Matthew Gombolay

We conduct a mixed-design human subjects experiment to understand factors governing trust in the context of human-robot interaction. To the best of our knowledge, we are the first to perform an integrated study on trust involving multiple robot attributes at once. We consider factors such as perceived anthropomorphism (or how human-like the robot is perceived to be), embodied and virtual robots, and robots exhibiting different behaviors while providing assistance to users in the context of a time-constrained game.

Further, we investigate how to mitigate errors due to over-compliance or under-reliance in human-robot interaction. We also include a coalition-building preface, where the agent provides context as to why it might make errors to evaluate the change in trust.  [read more]

 

Joint Goal and Strategy Inference across Heterogenous Demonstrators via Reward Network Distillation

Authors: Letian Chen, Rohan Paleja, Muyleng Ghuy, Matthew Gombolay

Short Synopsis…Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum…[read more]