Results 31 to 40 of about 23,336 (274)

Towards learning hierarchical skills for multi-phase manipulation tasks [PDF]

open access: yes, 2015
Most manipulation tasks can be decomposed into a sequence of phases, where the robot’s actions have different effects in each phase. The robot can perform actions to transition between phases and, thus, alter the effects of its actions, e.g. grasp an
Daniel, Christian   +4 more
core   +1 more source

Muscle synergies in neuroscience and robotics: from input-space to task-space perspectives [PDF]

open access: yes, 2013
In this paper we review the works related to muscle synergies that have been carried-out in neuroscience and control engineering. In particular, we refer to the hypothesis that the central nervous system (CNS) generates desired muscle contractions by ...
Bastien eBerret   +7 more
core   +4 more sources

Learning and Chaining of Motor Primitives for Goal-Directed Locomotion of a Snake-Like Robot with Screw-Drive Units

open access: yesInternational Journal of Advanced Robotic Systems, 2015
Motor primitives provide a modular organization to complex behaviours in both vertebrates and invertebrates. Inspired by this, here we generate motor primitives for a complex snake-like robot with screw-drive units, and thence chain and combine them, in ...
Sromona Chatterjee   +7 more
doaj   +1 more source

Muscle Synergies in Parkinson’s Disease

open access: yesSensors, 2020
Over the last two decades, experimental studies in humans and other vertebrates have increasingly used muscle synergy analysis as a computational tool to examine the physiological basis of motor control.
Ilaria Mileti   +7 more
doaj   +1 more source

Using humanoid robots to study human behavior [PDF]

open access: yes, 2000
Our understanding of human behavior advances as our humanoid robotics work progresses-and vice versa. This team's work focuses on trajectory formation and planning, learning from demonstration, oculomotor control and interactive behaviors.
Atkeson, C.G.   +11 more
core   +3 more sources

Standing up with Motor Primitives [PDF]

open access: yes, 2006
As observed in nature, complex locomotion can be generated based on an adequate combination of motor primitives. In this context, the paper focused on experiments which result in the development of a quality criterion for the design and analysis of motor primitives.
V. Hamburger   +3 more
openaire   +1 more source

Reinforcement Learning for Parameterized Motor Primitives [PDF]

open access: yesThe 2006 IEEE International Joint Conference on Neural Network Proceedings, 2006
One of the major challenges in both action generation for robotics and in the understanding of human motor control is to learn the "building blocks of movement generation", called motor primitives. Motor primitives, as used in this paper, are parameterized control policies such as splines or nonlinear differential equations with desired attractor ...
Peters, J., Schaal, S.
openaire   +2 more sources

Impact of discrete corrections in a modular approach for trajectory generation in quadruped robots [PDF]

open access: yes, 2011
Online generation of trajectories in robots is a very complex task that involves the combination of different types of movements, i.e., distinct motor primitives.
Matos, Vítor   +3 more
core   +1 more source

Hopf Bifurcations in Complex Multiagent Activity: The Signature of Discrete to Rhythmic Behavioral Transitions

open access: yesBrain Sciences, 2020
Most human actions are composed of two fundamental movement types, discrete and rhythmic movements. These movement types, or primitives, are analogous to the two elemental behaviors of nonlinear dynamical systems, namely, fixed-point and limit cycle ...
Gaurav Patil   +3 more
doaj   +1 more source

Dynamical Movement Primitives: Learning Attractor Models for Motor Behaviors [PDF]

open access: yesNeural Computation, 2013
Nonlinear dynamical systems have been used in many disciplines to model complex behaviors, including biological motor control, robotics, perception, economics, traffic prediction, and neuroscience. While often the unexpected emergent behavior of nonlinear systems is the focus of investigations, it is of equal importance to create goal-directed behavior
Ijspeert, Auke Jan   +4 more
openaire   +5 more sources

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