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A review of current state-of-the-art control methods for lower-limb powered prostheses
Lower-limb prostheses aim to restore ambulatory function for individuals with lower-limb
amputations. While the design of lower-limb prostheses is important, this paper focuses on …
amputations. While the design of lower-limb prostheses is important, this paper focuses on …
Optimization-based control for dynamic legged robots
In a world designed for legs, quadrupeds, bipeds, and humanoids have the opportunity to
impact emerging robotics applications from logistics, to agriculture, to home assistance. The …
impact emerging robotics applications from logistics, to agriculture, to home assistance. The …
Dynamic walking: Toward agile and efficient bipedal robots
Dynamic walking on bipedal robots has evolved from an idea in science fiction to a practical
reality. This is due to continued progress in three key areas: a mathematical understanding …
reality. This is due to continued progress in three key areas: a mathematical understanding …
[PDF][PDF] Discrete control barrier functions for safety-critical control of discrete systems with application to bipedal robot navigation.
In this paper, we extend the concept of control barrier functions, developed initially for
continuous time systems, to the discrete-time domain. We demonstrate safety-critical control …
continuous time systems, to the discrete-time domain. We demonstrate safety-critical control …
Feedback control of a cassie bipedal robot: Walking, standing, and riding a segway
The Cassie bipedal robot designed by Agility Robotics is providing academics with a
common platform for sharing and comparing algorithms for locomotion, perception, and …
common platform for sharing and comparing algorithms for locomotion, perception, and …
TAMOLS: Terrain-aware motion optimization for legged systems
Terrain geometry is, in general, nonsmooth, nonlinear, nonconvex, and, if perceived through
a robot-centric visual unit, appears partially occluded and noisy. This article presents the …
a robot-centric visual unit, appears partially occluded and noisy. This article presents the …
Feedback control for cassie with deep reinforcement learning
Bipedal locomotion skills are challenging to develop. Control strategies often use local
linearization of the dynamics in conjunction with reduced-order abstractions to yield …
linearization of the dynamics in conjunction with reduced-order abstractions to yield …
Coupling vision and proprioception for navigation of legged robots
We exploit the complementary strengths of vision and proprioception to develop a point-goal
navigation system for legged robots, called VP-Nav. Legged systems are capable of …
navigation system for legged robots, called VP-Nav. Legged systems are capable of …
TALOS: A new humanoid research platform targeted for industrial applications
The upcoming generation of humanoid robots will have to be equipped with state-of-the-art
technical features along with high industrial quality, but they should also offer the prospect of …
technical features along with high industrial quality, but they should also offer the prospect of …
Robust feedback motion policy design using reinforcement learning on a 3d digit bipedal robot
In this paper, a hierarchical and robust framework for learning bipedal locomotion is
presented and successfully implemented on the 3D biped robot Digit built by Agility …
presented and successfully implemented on the 3D biped robot Digit built by Agility …