Abstract: The mobility and manipulation of bipedal humanoid robots always depend on their legs, which account for balance and may substantially accelerate energy consumption, especially when the lower body is expected to be stationary. To this end, this article presents a biomimetic and energy-efficient design for bipedal robots’ legs and extensively demonstrates its … [Read more...] about A Biomimetic and Energy-Efficient Leg Design for a Humanoid Robot: An Exclusively Linear-Actuated Implementation
Energy efficiency
Neuromorphic Quadratic Programming for Efficient and Scalable Model Predictive Control: Towards Advancing Speed and Energy Efficiency in Robotic Control
Applications in robotics or other size-, weight- and power-constrained autonomous systems at the edge often require real-time and low-energy solutions to large optimization problems. Event-based and memory-integrated neuromorphic architectures promise to solve such optimization problems with superior energy efficiency and performance compared to conventional von Neumann … [Read more...] about Neuromorphic Quadratic Programming for Efficient and Scalable Model Predictive Control: Towards Advancing Speed and Energy Efficiency in Robotic Control
RoboTwin: A Platform to Study Hydrodynamic Interactions in Schooling Fish
By living and moving in groups, fish can gain many benefits, such as heightened predator detection, greater hunting efficiency, more accurate environmental sensing, and energy saving. Although the benefits of hydrodynamic interactions in schooling fish have drawn growing interest in fields such as biology, physics, and engineering, and multiple hypotheses for how such benefits … [Read more...] about RoboTwin: A Platform to Study Hydrodynamic Interactions in Schooling Fish
Simulation to Real: Learning Energy-Efficient Slithering Gaits for a Snake-Like Robot
To resemble the body flexibility of biological snakes, snake-like robots are designed as a chain of body modules, which gives them many degrees of freedom (DoF) on the one hand and leads to a challenging task to control them on the other. Compared with conventional model-based control methods, reinforcement learning (RL)-based ones provide promising solutions to design agile … [Read more...] about Simulation to Real: Learning Energy-Efficient Slithering Gaits for a Snake-Like Robot
