Page 18: Research news on Autonomous robotic locomotion

Autonomous robotic locomotion investigates how robots perceive, plan, and execute movement in complex, often unstructured environments with minimal human intervention. Work in this area spans legged, wheeled, aerial, amphibious, and soft robots, emphasizing bio-inspired control strategies, neuromechanics, and learning-based methods for gait adaptation, trajectory modulation, and slip prevention. Research also addresses navigation and mapping, kinematic and impedance control, and human–robot collaboration, enabling robots to perform tasks such as construction, waste collection, manipulation, and agile behaviors like parkour, badminton, and swarm-based assembly.

Robotics

Light and AI drive precise motion in soft robotic arm

Researchers at Rice University have developed a soft robotic arm capable of performing complex tasks such as navigating around an obstacle or hitting a ball, guided and powered remotely by laser beams without any onboard ...

Engineering

Charting a new course with autonomous sailboat fleets

In a corner of Rice University's Oshman Engineering Design Kitchen (OEDK), a group of students is tackling a big idea: revolutionizing maritime transport with swarms of smart, self-sailing boats.

Robotics

The challenge of coordinating multiple robots on the moon

Frameworks are a critical, if underappreciated, component of any space exploration mission. They can range from the overall mission architecture, capturing scientific and technical goals, to the structure of messages sent ...

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