[PDF][PDF] Behavioral Motor Performance
The human sensorimotor control system has exceptional abilities to perform skillful actions.
We easily switch between strenuous tasks that involve brute force, such as lifting a heavy …
We easily switch between strenuous tasks that involve brute force, such as lifting a heavy …
Amortized inference with user simulations
There have been significant advances in simulation models predicting human behavior
across various interactive tasks. One issue remains, however: identifying the parameter …
across various interactive tasks. One issue remains, however: identifying the parameter …
MyoSim: Fast and physiologically realistic MuJoCo models for musculoskeletal and exoskeletal studies
Owing to the restrictions of live experimentation, musculoskeletal simulation models play a
key role in biological motor control studies and investigations. Successful results of which …
key role in biological motor control studies and investigations. Successful results of which …
Optimizing the timing of intelligent suggestion in virtual reality
Intelligent suggestion techniques can enable low-friction selection-based input within virtual
or augmented reality (VR/AR) systems. Such techniques leverage probability estimates from …
or augmented reality (VR/AR) systems. Such techniques leverage probability estimates from …
Breathing life into biomechanical user models
Forward biomechanical simulation in HCI holds great promise as a tool for evaluation,
design, and engineering of user interfaces. Although reinforcement learning (RL) has been …
design, and engineering of user interfaces. Although reinforcement learning (RL) has been …
Dep-rl: Embodied exploration for reinforcement learning in overactuated and musculoskeletal systems
Muscle-actuated organisms are capable of learning an unparalleled diversity of dexterous
movements despite their vast amount of muscles. Reinforcement learning (RL) on large …
movements despite their vast amount of muscles. Reinforcement learning (RL) on large …
Learning with muscles: Benefits for data-efficiency and robustness in anthropomorphic tasks
Humans are able to outperform robots in terms of robustness, versatility, and learning of new
tasks in a wide variety of movements. We hypothesize that highly nonlinear muscle …
tasks in a wide variety of movements. We hypothesize that highly nonlinear muscle …
Speeding up inference with user simulators through policy modulation
The simulation of user behavior with deep reinforcement learning agents has shown some
recent success. However, the inverse problem, that is, inferring the free parameters of the …
recent success. However, the inverse problem, that is, inferring the free parameters of the …
MyoChallenge 2022: Learning contact-rich manipulation using a musculoskeletal hand
V Caggiano, G Durandau, H Wang… - NeurIPS 2022 …, 2023 - proceedings.mlr.press
Manual dexterity has been considered one of the critical components for human evolution.
The ability to perform movements as simple as holding and rotating an object in the hand …
The ability to perform movements as simple as holding and rotating an object in the hand …
Reinforcement learning compensated coordination control of multiple mobile manipulators for tight cooperation
P Xu, Y Cui, Y Shen, W Zhu, Y Zhang, B Wang… - … Applications of Artificial …, 2023 - Elsevier
This study presents a coordinated control method based on reinforcement learning for
multiple mobile manipulators when strong constraints and close coupling are involved in the …
multiple mobile manipulators when strong constraints and close coupling are involved in the …