8 citations · 19 across the 17 of their papers we have counts for
17 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…
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…
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…
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…
Beacon: A Naturalistic Driving Dataset During Blackouts for Benchmarking Traffic Reconstruction and Control
Supriya Sarker, Iftekharul Islam, Bibek Poudel +1
Extreme weather and infrastructure vulnerabilities pose significant challenges to urban mobility, particularly at intersections where signals become inoperative. To address this gr…
CARL: Congestion-Aware Reinforcement Learning for Imitation-based Perturbations in Mixed Traffic Control
Bibek Poudel, Weizi Li, Shuai Li
Human-driven vehicles (HVs) exhibit complex and diverse behaviors. Accurately modeling such behavior is crucial for validating Robot Vehicles (RVs) in simulation and realizing the…
Traffic Reconstruction and Analysis of Natural Driving Behaviors at Unsignalized Intersections
Supriya Sarker, Bibek Poudel, Michael Villarreal +1
This paper explores the intricacies of traffic behavior at unsignalized intersections through the lens of a novel dataset, combining manual video data labeling and advanced traffic…
EnduRL: Enhancing Safety, Stability, and Efficiency of Mixed Traffic Under Real-World Perturbations Via Reinforcement Learning
Bibek Poudel, Weizi Li, Kevin Heaslip
Human-driven vehicles (HVs) amplify naturally occurring perturbations in traffic, leading to congestion--a major contributor to increased fuel consumption, higher collision risks,…
Can ChatGPT Enable ITS? The Case of Mixed Traffic Control via Reinforcement Learning
Michael Villarreal, Bibek Poudel, Weizi Li
The surge in Reinforcement Learning (RL) applications in Intelligent Transportation Systems (ITS) has contributed to its growth as well as highlighted key challenges. However, defi…
Efficient Quality-Diversity Optimization through Diverse Quality Species
Ryan Wickman, Bibek Poudel, Michael Villarreal +2
A prevalent limitation of optimizing over a single objective is that it can be misguided, becoming trapped in local optimum. This can be rectified by Quality-Diversity (QD) algorit…
Mixed Traffic Control and Coordination from Pixels
Michael Villarreal, Bibek Poudel, Jia Pan +1
Traffic congestion is a persistent problem in our society. Previous methods for traffic control have proven futile in alleviating current congestion levels leading researchers to e…
AutoJoin: Efficient Adversarial Training against Gradient-Free Perturbations for Robust Maneuvering via Denoising Autoencoder and Joint Learning
Michael Villarreal, Bibek Poudel, Ryan Wickman +2
With the growing use of machine learning algorithms and ubiquitous sensors, many `perception-to-control' systems are being developed and deployed. To ensure their trustworthiness,…
Black-box Adversarial Attacks on Network-wide Multi-step Traffic State Prediction Models
Bibek Poudel, Weizi Li
Traffic state prediction is necessary for many Intelligent Transportation Systems applications. Recent developments of the topic have focused on network-wide, multi-step prediction…
Learning to Control DC Motor for Micromobility in Real Time with Reinforcement Learning
Bibek Poudel, Thomas Watson, Weizi Li
Autonomous micromobility has been attracting the attention of researchers and practitioners in recent years. A key component of many micro-transport vehicles is the DC motor, a com…