首页|New Robotics Data Have Been Reported by Investigators at University of Victoria (End-to-end Deep Learning-based Framework for Path Planning and Collision Checki ng: Bin-picking Application)
New Robotics Data Have Been Reported by Investigators at University of Victoria (End-to-end Deep Learning-based Framework for Path Planning and Collision Checki ng: Bin-picking Application)
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NETL
NSTL
Cambridge Univ Press
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Robotics is now availab le. According to news reporting originating from Victoria, Canada, by NewsRx cor respondents, research stated, “Real-time and efficient path planning is critical for all robotic systems. In particular, it is of greater importance for industr ial robots since the overall planning and execution time directly impact the cyc le time and automation economics in production lines.”
VictoriaCanadaNorth and Central Amer icaEmerging TechnologiesMachine LearningRoboticsRobotsUniversity of Vi ctoria
NETL
NSTL
Cambridge Univ Press
