5 papers
AlphaTransit: Learning to Design City-scale Transit Routes
Bibek Poudel, Sai Swaminathan, Weizi Li
Designing a transit network requires many sequential route extension decisions, but their quality is often visible only after the full network is assembled. This delayed-feedback c…
DeCoR: Design and Control Co-Optimization for Urban Streets Using Reinforcement Learning
Bibek Poudel, Lei Zhu, Kevin Heaslip +2
Modern vision systems can detect, track, and forecast urban actors at scale, yet translating perception outputs to urban design remains limited. We introduce DeCoR, a two-stage rei…
Learning-Guided Sparsification of Dynamic Graphs in Robotic Exploration
Adithya V. Sastry, Bibek Poudel, Weizi Li
Many robotic exploration algorithms rely on graph structures for frontier-based exploration and dynamic path planning. However, these graphs grow rapidly, accumulating redundant in…
Learning to Design City-scale Transit Routes
Bibek Poudel, Weizi Li
Designing efficient transit route networks is an NP-hard problem with exponentially large solution spaces that traditionally relies on manual planning processes. We present an end-…
PulseRide: A Robotic Wheelchair for Personalized Exertion Control with Human-in-the-Loop Reinforcement Learning
Azizul Zahid, Bibek Poudel, Danny Scott +4
Maintaining an active lifestyle is vital for quality of life, yet challenging for wheelchair users. For instance, powered wheelchairs face increasing risks of obesity and deconditi…