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Advancements in Q‐learning meta‐heuristic optimization algorithms: A survey
This paper reviews the integration of Q‐learning with meta‐heuristic algorithms (QLMA) over
the last 20 years, highlighting its success in solving complex optimization problems. We …
the last 20 years, highlighting its success in solving complex optimization problems. We …
Reactive human–robot collaborative manipulation of deformable linear objects using a new topological latent control model
Real-time reactive manipulation of deformable linear objects is a challenging task that
requires robots to quickly and adaptively respond to changes in the object's deformed shape …
requires robots to quickly and adaptively respond to changes in the object's deformed shape …
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 …
Humanoid locomotion and manipulation: Current progress and challenges in control, planning, and learning
Z Gu, J Li, W Shen, W Yu, Z ** stabilization
X ** over obstacles with MIT Cheetah 2
This paper presents a planning framework for jum** over obstacles with quadruped
robots. The framework accomplishes planning via a structured predictive control strategy …
robots. The framework accomplishes planning via a structured predictive control strategy …
Modeling the kinematics of human locomotion over continuously varying speeds and inclines
Powered knee and ankle prostheses can perform a limited number of discrete ambulation
tasks. This is largely due to their control architecture, which uses a finite-state machine to …
tasks. This is largely due to their control architecture, which uses a finite-state machine to …
Zero dynamics, pendulum models, and angular momentum in feedback control of bipedal locomotion
Y Gong, JW Grizzle - Journal of Dynamic Systems …, 2022 - asmedigitalcollection.asme.org
Low-dimensional models are ubiquitous in the bipedal robotics literature. On the one hand
is the community of researchers that bases feedback control design on pendulum models …
is the community of researchers that bases feedback control design on pendulum models …
Glide: Generalizable quadrupedal locomotion in diverse environments with a centroidal model
Abstract Model-free reinforcement learning (RL) for legged locomotion commonly relies on a
physics simulator that can accurately predict the behaviors of every degree of freedom of the …
physics simulator that can accurately predict the behaviors of every degree of freedom of the …