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Model predictive control of legged and humanoid robots: models and algorithms
Model predictive control (MPC) of legged and humanoid robotic systems has been an active
research topic in the past decade. While MPC for robotic systems has a long history, its …
research topic in the past decade. While MPC for robotic systems has a long history, its …
The current state and future outlook of rescue robotics
Robotic technologies, whether they are remotely operated vehicles, autonomous agents,
assistive devices, or novel control interfaces, offer many promising capabilities for …
assistive devices, or novel control interfaces, offer many promising capabilities for …
Amphibious and sprawling locomotion: from biology to robotics and back
AJ Ijspeert - Annual Review of Control, Robotics, and …, 2020 - annualreviews.org
A milestone in vertebrate evolution, the transition from water to land, owes its success to the
development of a sprawling body plan that enabled an amphibious lifestyle. The body …
development of a sprawling body plan that enabled an amphibious lifestyle. The body …
Fast and efficient locomotion via learned gait transitions
We focus on the problem of develo** energy efficient controllers for quadrupedal robots.
Animals can actively switch gaits at different speeds to lower their energy consumption. In …
Animals can actively switch gaits at different speeds to lower their energy consumption. In …
Animal robots in the African wilderness: Lessons learned and outlook for field robotics
In early 2016, we had the opportunity to test a pair of sprawling posture robots, one
designed to mimic a crocodile and another designed to mimic a monitor lizard, along the …
designed to mimic a crocodile and another designed to mimic a monitor lizard, along the …
Model predictive control with environment adaptation for legged locomotion
Re-planning in legged locomotion is crucial to track the desired user velocity while adapting
to the terrain and rejecting external disturbances. In this work, we propose and test in …
to the terrain and rejecting external disturbances. In this work, we propose and test in …
Humanconquad: human motion control of quadrupedal robots using deep reinforcement learning
Robotic creatures are capable of entering hazardous environments instead of human
workers, but it is challenging to develop a fully autonomous agent that can work …
workers, but it is challenging to develop a fully autonomous agent that can work …
A Novel Design Methodology of CPG Model for a Salamander-like Robot
In this letter, we present a novel method for the design of central pattern generator (CPG)
model, and then utilize it to control a salamander-like robot. The CPG network is composed …
model, and then utilize it to control a salamander-like robot. The CPG network is composed …
Robust Robot Walker: Learning Agile Locomotion over Tiny Traps
Quadruped robots must exhibit robust walking capabilities in practical applications. In this
work, we propose a novel approach that enables quadruped robots to pass various small …
work, we propose a novel approach that enables quadruped robots to pass various small …
Fuzzy Logic and Neural Network-Based Intelligent Control System for Quadruped Robot on Extreme Terrain
The quadruped robot has the advantage of having a high degree of freedom of motion.
Therefore, it has been used in various robot applications such as exploration. However, the …
Therefore, it has been used in various robot applications such as exploration. However, the …