Collision‐free local planner for unknown subterranean navigation

Author:

Jung Sunggoo1ORCID,Lee Hanseob2,Shim David Hyunchul2,Agha‐mohammadi Ali‐akbar3

Affiliation:

1. Autonomous Flight Research Section Electronics and Telecommunications Research Institute Daejeon Rep. of Korea

2. Unmanned Systems Research Group KAIST Daejeon Rep. of Korea

3. JPL Robotics NASA‐JPL, California Institute of Technology Pasadena California USA

Funder

Ministry of Science and ICT, South Korea

Publisher

Wiley

Subject

Electrical and Electronic Engineering,General Computer Science,Electronic, Optical and Magnetic Materials

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2. Research of the Efficient Grid-based Path Planning for Large-Scale Delivery in the Urban Environment;Journal of Society of Korea Industrial and Systems Engineering;2024-06-30

3. Surface Tracking Controls of an Unmanned Underwater Vehicle with Fixed Sonar Ray Measurements in Tunnel-Like Environments;Journal of Intelligent & Robotic Systems;2024-02-03

4. Multi-robot Benchmark for Collaborative Manipulation Tasks;2023 14th International Conference on Information and Communication Technology Convergence (ICTC);2023-10-11

5. High-level Visual Representation via Perceptual Representation Learning;2023 14th International Conference on Information and Communication Technology Convergence (ICTC);2023-10-11

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