UWB-Based Human-Following System with Obstacle and Crevasse Avoidance for Polar-Exploration Robots
Source abstract
Abstract
This paper introduces a UWB-based human-following system for polar-exploration robots, integrating obstacle and crevasse avoidance functions to enhance the safety and efficiency of explorers in extreme environments. The proposed system determines the relative position of the explorer using UWB anchors and tags. It also utilizes real-time local obstacle mapping and path-planning algorithms to find safe paths that avoid collisions with obstacles. Simulation and real-world experiments confirm that the proposed system operates effectively in polar environments, reducing the operational burden on explorers and increasing mission success rates.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Underwater Vehicles and Communication Systems · Opportunistic and Delay-Tolerant Networks · Energy Efficient Wireless Sensor Networks
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Smart Mobility R&D Division, Korea Institute of Robotics and Technology Convergence, Pohang 37666, Republic of Korea
Funding
Korea Institute of Marine Science & Technology Promotion (KIMST)
References (30)
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