1 citations · 2 across the 12 of their papers we have counts for
3 papers · 2 filters
Dynamic Obstacle Avoidance through Uncertainty-Based Adaptive Planning with Diffusion
Vineet Punyamoorty, Pascal Jutras-Dubé, Ruqi Zhang +3
By framing reinforcement learning as a sequence modeling problem, recent work has enabled the use of generative models, such as diffusion models, for planning. While these models a…
Go-SLAM: Grounded Object Segmentation and Localization with Gaussian Splatting SLAM
Phu Pham, Dipam Patel, Damon Conover +1
We introduce Go-SLAM, a novel framework that utilizes 3D Gaussian Splatting SLAM to reconstruct dynamic environments while embedding object-level information within the scene repre…
Scalable Multi-Robot Informative Path Planning for Target Mapping via Deep Reinforcement Learning
Apoorva Vashisth, Manav Kulshrestha, Damon Conover +1
Autonomous robots are widely utilized for mapping and exploration tasks due to their cost-effectiveness. Multi-robot systems offer scalability and efficiency, especially in terms o…