9 papers
OPAL: Omnidirectional Path-efficient Aerial 3D expLoration
Yoga Satwik Chappidi, Avideh Zakhor
Autonomous exploration is critical for robot mapping unknown environments. Desirable characteristics of exploration algorithms include compute efficiency and small traversed distan…
Vision-Guided Outdoor Flight and Obstacle Evasion via Reinforcement Learning
Shiladitya Dutta, Aayush Gupta, Varun Saran +1
Although quadcopters boast impressive traversal capabilities enabled by their omnidirectional maneuverability, the need for continuous pilot control in complex environments impedes…
Autonomous Frontier-Based Exploration with VLM Guidance
Aarush Aitha, Avideh Zakhor
Autonomous robotic exploration of unknown and hazardous environments, a long-standing challenge, can be significantly improved by leveraging the advanced reasoning of Vision-Langua…
Semantic-Aware Guided Drone Exploration for Language-Conditioned 3D Indoor Mapping
Nitin Vegesna, Avideh Zakhor
We present Semantic-Aware Guided Exploration, SAGE, a system for open-vocabulary exploration in unknown 3D indoor environments that preserves coverage-oriented behavior while allow…
Indoor Asset Detection in Large Scale 360° Drone-Captured Imagery via 3D Gaussian Splatting
Monica Tang, Avideh Zakhor
We present an approach for object-level detection and segmentation of target indoor assets in 3D Gaussian Splatting (3DGS) scenes, reconstructed from 360° drone-captured imagery.…
Versatile Locomotion Skills for Hexapod Robots
Tomson Qu, Dichen Li, Avideh Zakhor +2
Hexapod robots are potentially suitable for carrying out tasks in cluttered environments since they are stable, compact, and light weight. They also have multi-joint legs and varia…