首页|New Robotics Findings from Tsinghua University Outlined (Tactid: High-performanc e Visuo-tactile Sensor-based Terrain Identification for Legged Robots)
New Robotics Findings from Tsinghua University Outlined (Tactid: High-performanc e Visuo-tactile Sensor-based Terrain Identification for Legged Robots)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Robotics are presented i n a new report. According to news reporting from Shenzhen, People’s Republic of China, by NewsRx journalists, research stated, “Adapting to various terrains and improving locomotion performance have always been challenging for legged robots . Inspired by the animal somatosensory system in walking and balancing, the robo t can benefit from the foot sensors as well when interacting with the terrain an d gain better performance.” Funders for this research include Shenzhen Science and Technology Program, Guang dong Innovative and Entrepreneurial Research Team Program, Shenzhen Institute of Artificial Intelligence and Robotics for Society and Meituan.
ShenzhenPeople’s Republic of ChinaAs iaEmerging TechnologiesMachine LearningNano-robotRobotRoboticsTsingh ua University
NETL
NSTL
