1 citations · 1 across the 5 of their papers we have counts for
5 papers
Humanoid World Models: Open World Foundation Models for Humanoid Robotics
Muhammad Qasim Ali, Aditya Sridhar, Shahbuland Matiana +2
Humanoid robots, with their human-like form, are uniquely suited for interacting in environments built for people. However, enabling humanoids to reason, plan, and act in complex o…
Autonomous Driving at Unsignalized Intersections: A Review of Decision-Making Challenges and Reinforcement Learning-Based Solutions
Mohammad Al-Sharman, Luc Edes, Bert Sun +4
Autonomous driving at unsignalized intersections is still considered a challenging application for machine learning due to the complications associated with handling complex multi-…
Real-Time Unified Trajectory Planning and Optimal Control for Urban Autonomous Driving Under Static and Dynamic Obstacle Constraints
Rowan Dempster, Mohammad Al-Sharman, Derek Rayside +1
Trajectory planning and control have historically been separated into two modules in automated driving stacks. Trajectory planning focuses on higher-level tasks like avoiding obsta…
RALACs: Action Recognition in Autonomous Vehicles using Interaction Encoding and Optical Flow
Eddy Zhou, Alex Zhuang, Alikasim Budhwani +6
When applied to autonomous vehicle (AV) settings, action recognition can enhance an environment model's situational awareness. This is especially prevalent in scenarios where tradi…
Sim-to-Real Domain Adaptation for Lane Detection and Classification in Autonomous Driving
Chuqing Hu, Sinclair Hudson, Martin Ethier +3
While supervised detection and classification frameworks in autonomous driving require large labelled datasets to converge, Unsupervised Domain Adaptation (UDA) approaches, facilit…