Learning to manipulate a whip with simple primitive actions–A simulation study
This simulation study investigated whether a 4-degrees-of-freedom (DOF) arm could strike a
target with a 50-DOF whip using a motion profile similar to discrete human movements. The …
target with a 50-DOF whip using a motion profile similar to discrete human movements. The …
Dynamic primitives in constrained action: Systematic changes in the zero-force trajectory
Humans substantially outperform robotic systems in tasks that require physical interaction,
despite seemingly inferior muscle bandwidth and slow neural information transmission. The …
despite seemingly inferior muscle bandwidth and slow neural information transmission. The …
Neural dynamics of delayed feedback in robot teleoperation: insights from fNIRS analysis
Introduction As robot teleoperation increasingly becomes integral in executing tasks in
distant, hazardous, or inaccessible environments, operational delays remain a significant …
distant, hazardous, or inaccessible environments, operational delays remain a significant …
Human performance in virtual stabilization of a fractional-order system with reaction delay
Virtual balancing tasks facilitate the study of human motion control: human reaction to the
change of artificially introduced parameters can be studied in a computer environment. In …
change of artificially introduced parameters can be studied in a computer environment. In …
Inferring control objectives in a virtual balancing task in humans and monkeys
Natural behaviors have redundancy, which implies that humans and animals can achieve
their goals with different strategies. Given only observations of behavior, is it possible to infer …
their goals with different strategies. Given only observations of behavior, is it possible to infer …
Finding the rhythm: Humans exploit nonlinear intrinsic dynamics of compliant systems in periodic interaction tasks
Activities like ball bouncing and trampoline jumping showcase the human ability to intuitively
tune to system dynamics and excite motions that the system prefers intrinsically. This human …
tune to system dynamics and excite motions that the system prefers intrinsically. This human …
Inferring control objectives in a virtual balancing task in humans and monkeys
S Mohsen, RR Sharif, B Salah, RH Chowdhury… - eLife, 2024 - search.proquest.com
Natural behaviors have redundancy, which implies that humans and animals can achieve
their goals with different strategies. Given only observations of behavior, is it possible to infer …
their goals with different strategies. Given only observations of behavior, is it possible to infer …
A Predictive Model of Human Movements based on Model Predictive Control for Human-Robot Interaction
AG Gillam, RS Razavian - 2024 IEEE International Conference …, 2024 - ieeexplore.ieee.org
Predicting human movements is vital to safely control robots that physically interact with
humans. However, predictive neuromuscular models that are fast enough for realtime …
humans. However, predictive neuromuscular models that are fast enough for realtime …
Uncovering the Secrets of Human-Like Movement: A Fresh Perspective on Motion Planning
This article explores human-like movement from a fresh perspective on motion planning. We
analyze the coordinated and compliant movement mechanisms of the human body from the …
analyze the coordinated and compliant movement mechanisms of the human body from the …