首页|University of Shanghai for Science and Technology Researcher Has Published New S tudy Findings on Robotics (High Dynamic Bipedal Robot with Underactuated Telesco pic Straight Legs)

University of Shanghai for Science and Technology Researcher Has Published New S tudy Findings on Robotics (High Dynamic Bipedal Robot with Underactuated Telesco pic Straight Legs)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on robotics have been published. According to news reporting originating from Shanghai, People's Republic of China, by NewsRx correspondents, research stated, "Bipedal robots h ave long been a focal point of robotics research with an unwavering emphasis on platform stability. Achieving stability necessitates meticulous design considera tions at every stage, encompassing resilience against environmental disturbances and the inevitable wear associated with various tasks." Funders for this research include National Key R&D Program Funded P roject: Regional Comprehensive Demonstration of Intelligent Health Service Digit ization Technology. The news correspondents obtained a quote from the research from University of Sh anghai for Science and Technology: "In pursuit of these objectives, here, the bi pedal L04 Robot is introduced. The L04 Robot employs a groundbreaking approach b y compactly enclosing the hip joints in all directions and employing a coupled j oint design. This innovative approach allows the robot to attain the traditional 6 degrees of freedom in the hip joint while using only four motors. This design not only enhances energy efficiency and battery life but also safeguards all vu lnerable motor reducers. Moreover, the double-slider leg design enables the robo t to simulate knee bending and leg height adjustment through leg extension. This simulation can be mathematically modeled as a linear inverted pendulum (LIP), r endering the L04 Robot a versatile platform for research into bipedal robot moti on control."

University of Shanghai for Science and T echnologyShanghaiPeople's Republic of ChinaAsiaEmerging TechnologiesMa chine LearningRobotRobotics

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Mar.11)