Results 61 to 70 of about 141,405 (364)
Platform Portable Anthropomorphic Grasping with the Bielefeld 20-DOF Shadow and 9-DOF TUM Hand
Röthling F, Haschke R, Steil JJ, Ritter H. Platform Portable Anthropomorphic Grasping with the Bielefeld 20-DOF Shadow and 9-DOF TUM Hand. In: Proc. Int. Conf. on Intelligent Robots and Systems (IROS).
Frank Rothling +7 more
core +1 more source
This study proposes a novel lightweight robotic gripper with a high-payload capacity using shape-memory-alloy (SMA) actuators and a self-locking mechanism. The multi-joint fingers of the developed gripper are driven by flexible SMA actuators.
Toshihiro Nishimura +5 more
doaj +1 more source
Grasping Discriminates between Object Sizes Less Not More Accurately than the Perceptual System
Ganel, Freud, Chajut, and Algom (2012) demonstrated that maximum grip apertures (MGAs) differ significantly when grasping perceptually identical objects.
Frederic Göhringer +3 more
doaj +1 more source
Learning robust, real-time, reactive robotic grasping
We present a novel approach to perform object-independent grasp synthesis from depth images via deep neural networks. Our generative grasping convolutional neural network (GG-CNN) predicts a pixel-wise grasp quality that can be deployed in closed-loop ...
D. Morrison, Peter Corke, J. Leitner
semanticscholar +1 more source
A soft gripper inspired by the glowing sucker octopus (Stauroteuthis syrtensis)’ highly evolved grasping capability enabled by the umbrella‐shaped dorsal and ventral membrane between each arm is presented here, comprising of a 3D‐printed linkage ...
Mingxin Wu +9 more
semanticscholar +1 more source
Generalization of human grasping for multi-fingered robot hands
Multi-fingered robot grasping is a challenging problem that is difficult to tackle using hand-coded programs. In this paper we present an imitation learning approach for learning and generalizing grasping skills based on human demonstrations. To this end,
Ben Amor, H. +14 more
core +1 more source
The magic grasp: Motor expertise in deception [PDF]
This is an open access article, with the official published version at the link below.Background: Most of us are poor at faking actions. Kinematic studies have shown that when pretending to pick up imagined objects (pantomimed actions), we move and ...
Kuhn, G. +23 more
core +1 more source
Adaptive Grasping of Moving Objects through Tactile Sensing
A robot’s ability to grasp moving objects depends on the availability of real-time sensor data in both the far-field and near-field of the gripper. This research investigates the potential contribution of tactile sensing to a task of grasping an object ...
Patrick Lynch +2 more
doaj +1 more source
Learning ambidextrous robot grasping policies
An ambidextrous grasping policy trained on synthetic datasets consistently clears bins of up to 25 novel objects with a physical robot. Universal picking (UP), or reliable robot grasping of a diverse range of novel objects from heaps, is a grand ...
Jeffrey Mahler +6 more
semanticscholar +1 more source
The century of complexity has come. The face of science has changed. Surprisingly, when we start asking about the essence of these changes and then critically analyse the answers, the result are mostly discouraging. Most of the answers are related to the properties that have been in the focus of scientific research already for more than a century (like
Alexander N. Gorban, G. S. Yablonsky
openaire +2 more sources

