5 citations · 6 across the 8 of their papers we have counts for
5 papers · 1 filter
CSIR: Contextually and Socially Informed Robots for Efficient Person Goal Navigation
Tyler Chung, Nahl Farhan, Hao Zhang +4
We address the Person Goal Navigation (PersonNav) problem, enabling robots to search for people under realistic constraints on information accessibility and language uncertainty. T…
GzDRL: Reproducible and Scalable Deep Reinforcement Learning with Gazebo
Amal Dev Haridevan, Junjie Kang, Jinjun Shan
We present GzDRL, a novel single-process reinforcement learning (RL) framework for Gazebo that overcomes longstanding bottlenecks in scalable, reproducible robotics experimentation…
Chain of Spatial Thoughts: Modality-Agnostic Spatial Grounding for Vision Language Models
Hunter Schofield, Mohammed Elmahgiubi, Mohammad Mahdavian +4
Spatial understanding is fundamental to embodied intelligence, underpinning applications such as robotic manipulation, embodied navigation, and autonomous driving. Although recent…
RLFTSim: Realistic and Controllable Multi-Agent Traffic Simulation via Reinforcement Learning Fine-Tuning
Ehsan Ahmadi, Hunter Schofield, Behzad Khamidehi +5
Supervised open-loop training has been widely adopted for training traffic simulation models; however, it fails to capture the inherently dynamic, multi-agent interactions common i…
STaR: Scalable Task-Conditioned Retrieval for Long-Horizon Multimodal Robot Memory
Mingfeng Yuan, Hao Zhang, Mahan Mohammadi +3
Mobile robots are often deployed over long durations in diverse open, dynamic scenes, including indoor setting such as warehouses and manufacturing facilities, and outdoor settings…