首页|Researchers from Carleton University Describe Findings in Robotics (LLMT: A Tran sformer-Based Multi-Modal Lower Limb Human Motion Prediction Model for Assistive Robotics Applications)
Researchers from Carleton University Describe Findings in Robotics (LLMT: A Tran sformer-Based Multi-Modal Lower Limb Human Motion Prediction Model for Assistive Robotics Applications)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in robotic s. According to news reporting out of Ottawa, Canada, by NewsRx editors, researc h stated, “Recognition of human intended motion is key to developing intelligent human-robot interaction (HRI) controllers in assistive devices.” Financial supporters for this research include Natural Sciences And Engineering Research Council of Canada; Create Readi Program.
Carleton UniversityOttawaCanadaNor th and Central AmericaEmerging TechnologiesMachine LearningRobotRobotics
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