7 citations · 18 across the 11 of their papers we have counts for
12 papers · 1 filter
Decentralized Social Navigation with Non-Cooperative Robots via Bi-Level Optimization
Rohan Chandra, Rahul Menon, Zayne Sprague +2
This paper presents a fully decentralized approach for realtime non-cooperative multi-robot navigation in social mini-games, such as navigating through a narrow doorway or negotiat…
Game-Theoretic Planning for Autonomous Driving among Risk-Aware Human Drivers
Rohan Chandra, Mingyu Wang, Mac Schwager +1
We present a novel approach for risk-aware planning with human agents in multi-agent traffic scenarios. Our approach takes into account the wide range of human driver behaviors on…
GAMEOPT: Optimal Real-time Multi-Agent Planning and Control for Dynamic Intersections
Nilesh Suriyarachchi, Rohan Chandra, John S. Baras +1
We propose GameOpt: a novel hybrid approach to cooperative intersection control for dynamic, multi-lane, unsignalized intersections. Safely navigating these complex and accident pr…
Using Graph-Theoretic Machine Learning to Predict Human Driver Behavior
Rohan Chandra, Aniket Bera, Dinesh Manocha
Studies have shown that autonomous vehicles (AVs) behave conservatively in a traffic environment composed of human drivers and do not adapt to local conditions and socio-cultural n…
StylePredict: Machine Theory of Mind for Human Driver Behavior From Trajectories
Rohan Chandra, Aniket Bera, Dinesh Manocha
Studies have shown that autonomous vehicles (AVs) behave conservatively in a traffic environment composed of human drivers and do not adapt to local conditions and socio-cultural n…
CMetric: A Driving Behavior Measure Using Centrality Functions
Rohan Chandra, Uttaran Bhattacharya, Trisha Mittal +2
We present a new measure, CMetric, to classify driver behaviors using centrality functions. Our formulation combines concepts from computational graph theory and social traffic psy…