Results 51 to 60 of about 133,406 (290)

Experimental results with a six-degree-of-freedom force-reflecting hand controller [PDF]

, 1981
Control experiments performed using an isotonic joystick connected to a six degree-of-freedom manipulator equipped with a six dimensional force-torque sensor at the base of the manipulator end effector are described.
Bejczy, A. K., Handlykken, M.
core   +1 more source

Nonlocomotory Robotic Strategies for Dynamic Rotation Control in Terrestrial Robots: A Review

Advanced Robotics Research, EarlyView.
Terrestrial robots increasingly require rapid body rotation to maintain stability and agility in complex environments. This review shows nonlocomotory rotational control strategies that operate without ground contact, including reaction wheels, tails, bars, limbs, and thrusters.
Y. Liang, J. An, X. Zheng, D. Wang, S. Wang, X. Wang, P. Zhu, J. Pei, S. Li, J. Paripurana, Y. Han, Z. Tang, X. Gan, Q. He, X. Ma   +14 more
wiley   +1 more source

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

Advanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek, Herman van der Kooij, Douwe Dresscher, Mark Vlutters   +3 more
wiley   +1 more source

Damping and transfer control of spherical pendulum with omni-directional mobile robot

Nihon Kikai Gakkai ronbunshu, 2015
This paper presents damping and transfer control with an omni-directional mobile robot. The robot moves in all directions by using three omni-wheels, and a spherical pendulum was used as the tentative transfer object.
Masafumi HAMAGUCHI, Takao ENOMOTO, Takao TANIGUCHI   +2 more
doaj   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

LSTM-Inversion-Based Feedforward–Feedback Nanopositioning Control

Machines
This work proposes a two-degree of freedom (2DOF) controller for motion tracking of nanopositioning devices, such as piezoelectric actuators (PEAs), with a broad bandwidth and high precision.
Ruocheng Yin, Juan Ren
doaj   +1 more source

Observer-Based Model Reference Tracking Control of the Markov Jump System with Partly Unknown Transition Rates

Applied Sciences, 2023
This paper deals with the model reference tracking control problem of linear systems based on the observer for Markov jump systems with unknown transition rates.
Weiqiang Song, Aijuan Jin
doaj   +1 more source

A State‐Adaptive Koopman Control Framework for Real‐Time Deformable Tool Manipulation in Robotic Environmental Swabbing

Advanced Robotics Research, EarlyView.
This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi, Amirreza Davar, Dongyi Wang   +2 more
wiley   +1 more source

Diminished Signal‐to‐Noise Ratio Disrupts Somatosensory Population Encoding and Drives Tactile Hyposensitivity in the Fmr1−/y Autism Model

Advanced Science, EarlyView.
This study provides a translational approach for linking neural activity to tactile deficits in autism. By combining psychophysics with cortical recordings in a mouse model of autism, we show that low signal‐to‐noise ratio in somatosensory neurons weakens population encoding of fine touch, impairing detection, decoding, and leading to perceptual ...
Ourania Semelidou, Théo Gauvrit, Célien Vandromme, Alexandre Cornier, Anna Saint‐Jean, Yves Le Feuvre, Melanie Ginger, Andreas Frick   +7 more
wiley   +1 more source

An Iterative Tuning Method for Feedforward Control of Parallel Manipulators Considering Nonlinear Dynamics

Chinese Journal of Mechanical Engineering
Feedforward control is one of the most effective control techniques to increase the robot’s tracking accuracy. However, most of the dynamic models used in the feedforward controllers are linearly simplified such that the nonlinear and time-varying ...
Xiaojian Wang, Jun Wu
doaj   +1 more source