Researchers from Swiss Federal Institute of Technology Lausanne Describe Finding s in Robotics (Robust Quadruped Jumping Via Deep Reinforcement Learning)
Researchers from Swiss Federal Institute of Technology Lausanne Describe Finding s in Robotics (Robust Quadruped Jumping Via Deep Reinforcement Learning)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Robotic s. According to news reporting from Lausanne,Switzerland, by NewsRx journalists , research stated, “In this paper, we consider a general task of jumpingvarying distances and heights for a quadrupedal robot in noisy environments, such as of f of uneventerrain and with variable robot dynamics parameters. To accurately j ump in such conditions, we propose aframework using deep reinforcement learning that leverages and augments the complex solution of nonlineartrajectory optimi zation for quadrupedal jumping.”
Key words
Lausanne/Switzerland/Europe/Emerging Technologies/Machine Learning/Reinforcement Learning/Robot/Robotics/Swiss F ederal Institute of Technology Lausanne
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