Study Findings on Robotics Are Outlined in Reports from National University of D efense Technology (Thp: Tensor-field-driven Hierarchical Path Planning for Auton omous Scene Exploration With Depth Sensors)
Study Findings on Robotics Are Outlined in Reports from National University of D efense Technology (Thp: Tensor-field-driven Hierarchical Path Planning for Auton omous Scene Exploration With Depth Sensors)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Robotics. According to news originating from Changsha, People's Republic of Chin a, by NewsRx correspondents, research stated, "It is challenging to automaticall y explore an unknown 3D environment with a robot only equipped with depth sensor s due to the limited field of view. We introduce THP, a tensor field-based frame work for efficient environment exploration which can better utilize the encoded depth information through the geometric characteristics of tensor fields." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Young Elite Scientists Sponsorship Program by CAST, Natural Science Foundation of Hunan Province.
Key words
Changsha/People's Republic of China/As ia/Emerging Technologies/Machine Learning/Robot/Robotics/National Universit y of Defense Technology
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