Results 11 to 20 of about 20,724,674 (244)

MoConVQ: Unified Physics-Based Motion Control via Scalable Discrete Representations [PDF]

open access: yesACM Transactions on Graphics, 2023
In this work, we present MoConVQ, a novel unified framework for physics-based motion control leveraging scalable discrete representations. Building upon vector quantized variational autoencoders (VQ-VAE) and model-based reinforcement learning, our ...
Heyuan Yao   +5 more
semanticscholar   +1 more source

OmniControl: Control Any Joint at Any Time for Human Motion Generation [PDF]

open access: yesInternational Conference on Learning Representations, 2023
We present a novel approach named OmniControl for incorporating flexible spatial control signals into a text-conditioned human motion generation model based on the diffusion process.
Yiming Xie   +4 more
semanticscholar   +1 more source

Attosecond electron motion control in dielectric

open access: yesNature Photonics, 2021
Attosecond science capitalizes on the extreme nonlinearity of strong fields—driven by few-cycle pulses—to attain attosecond temporal resolution and give access to the electron motion dynamics of matter in real time.
D. Hui   +5 more
semanticscholar   +1 more source

Stability and Robustness of Disturbance-Observer-Based Motion Control Systems [PDF]

open access: yesIEEE transactions on industrial electronics (1982. Print), 2019
This paper analyzes the robustness and stability of a disturbance observer (DOB) and a reaction torque observer (RTOB)-based robust motion control systems.
E. Sariyildiz, K. Ohnishi
semanticscholar   +1 more source

Sliding modes in electrical drives and motion control [PDF]

open access: yes, 2011
In this paper application of Sliding Mode Control (SMC) to electrical drives and motion control systems is discussed. It is shown that in these applications simplicity in implementation makes concepts of SMC a very attractive design alternative ...
Asada   +17 more
core   +2 more sources

Antagonistic co-contraction can minimize muscular effort in systems with uncertainty [PDF]

open access: yesPeerJ, 2022
Muscular co-contraction of antagonistic muscle pairs is often observed in human movement, but it is considered inefficient and it can currently not be predicted in simulations where muscular effort or metabolic energy are minimized. Here, we investigated
Anne D. Koelewijn   +1 more
doaj   +2 more sources

Impaired perception of biological motion in Parkinson’s disease [PDF]

open access: yes, 2016
OBJECTIVE: We examined biological motion perception in Parkinson’s disease (PD). Biological motion perception is related to one’s own motor function and depends on the integrity of brain areas affected in PD, including posterior superior temporal sulcus.
Cronin-Golomb, Alice   +3 more
core   +1 more source

"Sticky Hands": learning and generalization for cooperative physical interactions with a humanoid robot [PDF]

open access: yes, 2005
"Sticky Hands" is a physical game for two people involving gentle contact with the hands. The aim is to develop relaxed and elegant motion together, achieve physical sensitivity-improving reactions, and experience an interaction at an intimate yet ...
Hale, J.G., Pollick, F.E.
core   +1 more source

Terrain Feature Estimation Method for a Lower Limb Exoskeleton Using Kinematic Analysis and Center of Pressure

open access: yesSensors, 2019
While controlling a lower limb exoskeleton providing walking assistance to wearers, the walking terrain is an important factor that should be considered for meeting performance and safety requirements.
Myounghoon Shim   +5 more
doaj   +1 more source

Reliability of Kinovea® Software and Agreement with a Three-Dimensional Motion System for Gait Analysis in Healthy Subjects

open access: yesSensors, 2020
Gait analysis is necessary to diagnose movement disorders. In order to reduce the costs of three-dimensional motion capture systems, new low-cost methods of motion analysis have been developed.
Pilar Fernández-González   +5 more
doaj   +1 more source

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