activity
20242026
collaborators

9 papers

cs.AI2026

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…

cs.LG2026

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…

cs.RO2026

MVB-Grasp: Minimum-Volume-Box Filtering of Diffusion-based Grasps for Frontal Manipulation

Bibek Poudel, Abdul Basit, Muhammad Shafique

State-of-the-art 6-DoF grasp generators excel on tabletop benchmarks with overhead cameras but struggle in frontal grasping scenarios on low-cost manipulators with constrained work…

cs.RO2026

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…

cs.LG2025

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-…

cs.LG2025

Joint Pedestrian and Vehicle Traffic Optimization in Urban Environments using Reinforcement Learning

Bibek Poudel, Xuan Wang, Weizi Li +2

Reinforcement learning (RL) holds significant promise for adaptive traffic signal control. While existing RL-based methods demonstrate effectiveness in reducing vehicular congestio…