Deep learning approaches to grasp synthesis: A review
Grasping is the process of picking up an object by applying forces and torques at a set of
contacts. Recent advances in deep learning methods have allowed rapid progress in robotic …
contacts. Recent advances in deep learning methods have allowed rapid progress in robotic …
A review of tactile information: Perception and action through touch
Tactile sensing is a key sensor modality for robots interacting with their surroundings. These
sensors provide a rich and diverse set of data signals that contain detailed information …
sensors provide a rich and diverse set of data signals that contain detailed information …
Armar-6: A high-performance humanoid for human-robot collaboration in real-world scenarios
A major goal of humanoid robotics is to enable safe and reliable human-robot collaboration
in realworld scenarios. In this article, we present ARMAR-6, a new high-performance …
in realworld scenarios. In this article, we present ARMAR-6, a new high-performance …
Synthesizing diverse and physically stable grasps with arbitrary hand structures using differentiable force closure estimator
Existing grasp synthesis methods are either analytical or data-driven. The former one is
oftentimes limited to specific application scope. The latter one depends heavily on …
oftentimes limited to specific application scope. The latter one depends heavily on …
Robotics dexterous grasping: The methods based on point cloud and deep learning
Dexterous manipulation, especially dexterous grasping, is a primitive and crucial ability of
robots that allows the implementation of performing human-like behaviors. Deploying the …
robots that allows the implementation of performing human-like behaviors. Deploying the …
Visuo-haptic object perception for robots: an overview
N Navarro-Guerrero, S Toprak, J Josifovski… - Autonomous …, 2023 - Springer
The object perception capabilities of humans are impressive, and this becomes even more
evident when trying to develop solutions with a similar proficiency in autonomous robots …
evident when trying to develop solutions with a similar proficiency in autonomous robots …
Toward human-like grasp: Functional grasp by dexterous robotic hand via object-hand semantic representation
T Zhu, R Wu, J Hang, X Lin… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Intelligent robotic manipulation is a challenging study of machine intelligence. Although
many dexterous robotic hands have been designed to assist or replace human hands in …
many dexterous robotic hands have been designed to assist or replace human hands in …
Simultaneous tactile exploration and grasp refinement for unknown objects
This letter addresses the problem of simultaneously exploring an unknown object to model
its shape, using tactile sensors on robotic fingers, while also improving finger placement to …
its shape, using tactile sensors on robotic fingers, while also improving finger placement to …
Active visuo-haptic object shape completion
Recent advancements in object shape completion have enabled impressive object
reconstructions using only visual input. However, due to self-occlusion, the reconstructions …
reconstructions using only visual input. However, due to self-occlusion, the reconstructions …
Learning skills from demonstrations: A trend from motion primitives to experience abstraction
The uses of robots are changing from static environments in factories to encompass novel
concepts such as human–robot collaboration in unstructured settings. Preprogramming all …
concepts such as human–robot collaboration in unstructured settings. Preprogramming all …