8 citations · 8 across the 7 of their papers we have counts for
7 papers · 1 filter
Manipulider: A Multi-Engine Buoyancy-Controlled Robot for Thrusterless Underwater Gliding and Manipulation
Yitao Jiang, Yewei Huang, Weizhi Cao +5
The Manipulider is a buoyancy-actuated underwater robot that enables thrusterless, glide-like locomotion and attitude-based manipulation, while providing a magnetic modular interfa…
RENEW: Risk- and Energy-Aware Navigation in Dynamic Waterways
Mingi Jeong, Alberto Quattrini Li
We present RENEW, a global path planner for Autonomous Surface Vehicle (ASV) in dynamic environments with external disturbances (e.g., water currents). RENEW introduces a unified r…
Multi-Object Active Search and Tracking by Multiple Agents in Untrusted, Dynamically Changing Environments
Mingi Jeong, Cristian Molinaro, Tonmoay Deb +5
This paper addresses the problem of both actively searching and tracking multiple unknown dynamic objects in a known environment with multiple cooperative autonomous agents with pa…
Active Learning-augmented Intention-aware Obstacle Avoidance of Autonomous Surface Vehicles in High-traffic Waters
Mingi Jeong, Arihant Chadda, Alberto Quattrini Li
This paper enhances the obstacle avoidance of Autonomous Surface Vehicles (ASVs) for safe navigation in high-traffic waters with an active state estimation of obstacle's passing in…
An Untethered Bioinspired Robotic Tensegrity Dolphin with Multi-Flexibility Design for Aquatic Locomotion
Luyang Zhao, Yitao Jiang, Chun-Yi She +5
This paper presents the first steps toward a soft dolphin robot using a bio-inspired approach to mimic dolphin flexibility. The current dolphin robot uses a minimalist approach, wi…
Robust Perception and Navigation of Autonomous Surface Vehicles in Challenging Environments
Mingi Jeong
Research on coastal regions traditionally involves methods like manual sampling, monitoring buoys, and remote sensing, but these methods face challenges in spatially and temporally…
SeePerSea: Multi-modal Perception Dataset of In-water Objects for Autonomous Surface Vehicles
Mingi Jeong, Arihant Chadda, Ziang Ren +8
This paper introduces the first publicly accessible labeled multi-modal perception dataset for autonomous maritime navigation, focusing on in-water obstacles within the aquatic env…