Results 31 to 40 of about 55,191 (281)

Iterative learning of grasp adaptation through human corrections [PDF]

Robotics and Autonomous Systems, 2012
In the context of object interaction and manipulation, one characteristic of a robust grasp is its ability to comply with external perturbations applied to the grasped object while still maintaining the grasp. In this work, we introduce an approach for grasp adaptation which learns a statistical model to adapt hand posture solely based on the perceived
Sauser E.L., Argall B.D., Metta G., Billard A.G.   +3 more
openaire   +2 more sources

A Neural Circuit for Coordinating Reaching with Grasping: Autocompensating Variable Initial Apertures, Perturbations to Target Size, and Perturbations to Target Orientation [PDF]

, 2001
A neural network model is presented, that extends principles of the VITE (vector integration to end-point) model [1, 2, 3, 4] of primate reaching to the more complex case of reach-grasp coordination.
Bullock, Daniel, Ulloa, Antonio
core   +2 more sources

Photoelasticity based dynamic tactile sensor [PDF]

, 2005
The paper presents design, construction and testing of a photoelasticity based dynamic sensor which is capable of detecting slip as well as providing normal force information.
Crowder, Richard M., Dubey, Venketesh N.
core   +1 more source

Soft objects grasping evaluation using a novel VCFN-YOLOv8 framework

Biomimetic Intelligence and Robotics
Humans can quickly perform adaptive grasping of soft objects by using visual perception and judgment of the grasping angle, which helps prevent the objects from sliding or deforming excessively. However, this easy task remains a challenge for robots. The
Guoshun Cui, Shiwei Su, Hanyu Gao, Kai Zhuo, Kun Yang, Hang Wu   +5 more
doaj   +1 more source

The hand of Homo naledi [PDF]

, 2015
A nearly complete right hand of an adult hominin was recovered from the Rising Star cave system, South Africa. Based on associated hominin material, the bones of this hand are attributed to Homo naledi.
AB Falsetti, AS Deane, AS Deane, AS Deane, BG Richmond, C Rolian, C Rolian, CM Orr, CO Lovejoy, CV Ward, CV Ward, CV Ward, CV Ward, CV Ward, D Lordkipanidze, DE Lieberman, DJ Green, DM Alba, F Weidenreich, H Preuschoft, HM McHenry, JE Mosimann, JR Napier, JR Napier, JT Stern Jr., KD Hunt, LR Berger, LR Berger, ME Bush, MM Shrewsbury, MW Markze, MW Marzke, MW Marzke, MW Marzke, MW Marzke, MW Marzke, MW Tocheri, MW Tocheri, MW Tocheri, MW Tocheri, MW Tocheri, NH Nguyen, RH Tuttle, RL Susman, S Almécija, SL Smith, TL Kivell, WEH Harcourt-Smith, WL Jungers, WL Jungers   +49 more
core   +3 more sources

Research on dynamic target grasping control method for food collaborative robot

Shipin yu jixie
Objective: Solve the problem of low accuracy of collaborative robots in food dynamic target grasping at present. Methods: Based on the architecture of collaborative robots, a combination of fuzzy self-tuning PID control and robust adaptive compensator ...
CHENG Pengfei, LIU Mingtang, SUN Chen
doaj   +1 more source

The implications of embodiment for behavior and cognition: animal and robotic case studies

, 2011
In this paper, we will argue that if we want to understand the function of the brain (or the control in the case of robots), we must understand how the brain is embedded into the physical system, and how the organism interacts with the real world.
Hoffmann, Matej, Pfeifer, Rolf
core   +1 more source

Causative role of left aIPS in coding shared goals during human-avatar complementary joint actions [PDF]

, 2015
Successful motor interactions require agents to anticipate what a partner is doing in order to predictively adjust their own movements. Although the neural underpinnings of the ability to predict others' action goals have been well explored during ...
Aglioti, Salvatore Maria, Candidi, Matteo, Era, Vanessa, Sacheli, LUCIA MARIA   +3 more
core   +1 more source

On Alternative Uses of Structural Compliance for the Development of Adaptive Robot Grippers and Hands

Frontiers in Neurorobotics, 2019
Adaptive robot hands are typically created by introducing structural compliance either in their joints (e.g., implementation of flexures joints) or in their finger-pads.
Che-Ming Chang, Lucas Gerez, Nathan Elangovan, Agisilaos Zisimatos, Minas Liarokapis   +4 more
doaj   +1 more source

Pixel-Reasoning-Based Robotics Fine Grasping for Novel Objects with Deep EDINet Structure

Sensors, 2022
Robotics grasp detection has mostly used the extraction of candidate grasping rectangles; those discrete sampling methods are time-consuming and may ignore the potential best grasp synthesis.
Chaoquan Shi, Chunxiao Miao, Xungao Zhong, Xunyu Zhong, Huosheng Hu, Qiang Liu   +5 more
doaj   +1 more source