32 citations · 51 across the 6 of their papers we have counts for
6 papers
RAVEN: Resilient Aerial Navigation via Open-Set Semantic Memory and Behavior Adaptation
Seungchan Kim, Omar Alama, Dmytro Kurdydyk +5
Aerial outdoor semantic navigation requires robots to explore large, unstructured environments to locate target objects. Recent advances in semantic navigation have demonstrated op…
Multi-Robot Multi-Room Exploration with Geometric Cue Extraction and Circular Decomposition
Seungchan Kim, Micah Corah, John Keller +2
This work proposes an autonomous multi-robot exploration pipeline that coordinates the behaviors of robots in an indoor environment composed of multiple rooms. Contrary to simple f…
Pegasus Simulator: An Isaac Sim Framework for Multiple Aerial Vehicles Simulation
Marcelo Jacinto, João Pinto, Jay Patrikar +4
Developing and testing novel control and motion planning algorithms for aerial vehicles can be a challenging task, with the robotics community relying more than ever on 3D simulati…
Off-Policy Evaluation with Online Adaptation for Robot Exploration in Challenging Environments
Yafei Hu, Junyi Geng, Chen Wang +2
Autonomous exploration has many important applications. However, classic information gain-based or frontier-based exploration only relies on the robot current state to determine th…
Graph-Based Topological Exploration Planning in Large-Scale 3D Environments
Fan Yang, Dung-Han Lee, John Keller +1
Currently, state-of-the-art exploration methods maintain high-resolution map representations in order to optimize exploration goals in each step that maximizes information gain. Ho…
A Stereo Algorithm for Thin Obstacles and Reflective Objects
John Keller, Sebastian Scherer
Stereo cameras are a popular choice for obstacle avoidance for outdoor lighweight, low-cost robotics applications. However, they are unable to sense thin and reflective objects wel…