33 citations · 39 across the 6 of their papers we have counts for
6 papers
VLPG-Nav: Object Navigation Using Visual Language Pose Graph and Object Localization Probability Maps
Senthil Hariharan Arul, Dhruva Kumar, Vivek Sugirtharaj +6
We present VLPG-Nav, a visual language navigation method for guiding robots to specified objects within household scenes. Unlike existing methods primarily focused on navigating th…
Multi-LLM QA with Embodied Exploration
Bhrij Patel, Vishnu Sashank Dorbala, Amrit Singh Bedi +1
Large language models (LLMs) have grown in popularity due to their natural language interface and pre trained knowledge, leading to rapidly increasing success in question-answering…
Confidence-Controlled Exploration: Efficient Sparse-Reward Policy Learning for Robot Navigation
Bhrij Patel, Kasun Weerakoon, Wesley A. Suttle +5
Reinforcement learning (RL) is a promising approach for robotic navigation, allowing robots to learn through trial and error. However, real-world robotic tasks often suffer from sp…
VERN: Vegetation-aware Robot Navigation in Dense Unstructured Outdoor Environments
Adarsh Jagan Sathyamoorthy, Kasun Weerakoon, Tianrui Guan +4
We propose a novel method for autonomous legged robot navigation in densely vegetated environments with a variety of pliable/traversable and non-pliable/untraversable vegetation. W…
Dynamic Group Behaviors for Interactive Crowd Simulation
Liang He, Jia Pan, Sahil Narang +2
We present a new algorithm to simulate dynamic group behaviors for interactive multi-agent crowd simulation. Our approach is general and makes no assumption about the environment,…
Leveraging Long-Term Predictions and Online-Learning in Agent-based Multiple Person Tracking
Wenxi Liu, Antoni B. Chan, Rynson W. H. Lau +1
We present a multiple-person tracking algorithm, based on combining particle filters and RVO, an agent-based crowd model that infers collision-free velocities so as to predict pede…