Robotap: Tracking arbitrary points for few-shot visual imitation

M Vecerik, C Doersch, Y Yang… - … on Robotics and …, 2024 - ieeexplore.ieee.org
For robots to be useful outside labs and specialized factories we need a way to teach them
new useful behaviors quickly. Current approaches lack either the generality to onboard new …

Towards Living Machines: current and future trends of tactile sensing, grasping, and social robotics

V Vouloutsi, L Cominelli, M Dogar… - Bioinspiration & …, 2023 - iopscience.iop.org
The development of future technologies can be highly influenced by our deeper
understanding of the principles that underlie living organisms. The Living Machines …

Robotic cable routing with spatial representation

S Jin, W Lian, C Wang, M Tomizuka… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
Cable routing is a challenging task for robotic automation. To accomplish the task, it requires
a high-level path planner to generate a sequence of cable configurations from the initial …

Control Methodologies for Robotic Grippers: A Review

S Cortinovis, G Vitrani, M Maggiali, RA Romeo - Actuators, 2023 - mdpi.com
As automation is spreading in all the industry domains, the presence of robots is becoming
unavoidable inside factories, warehouses and manufacturing facilities. Although a great …

Performance measures to benchmark the grasping, manipulation, and assembly of deformable objects typical to manufacturing applications

K Kimble, J Albrecht, M Zimmerman… - Frontiers in Robotics and …, 2022 - frontiersin.org
The National Institute of Standards and Technology is developing performance tests and
associated artifacts to benchmark research in the area of robotic assembly. Sets of …

Train offline, test online: A real robot learning benchmark

G Zhou, V Dean, MK Srirama… - … on Robotics and …, 2023 - ieeexplore.ieee.org
Three challenges limit the progress of robot learning research: robots are expensive (few
labs can participate), everyone uses different robots (findings do not generalize across labs) …

Multi-object grasping–estimating the number of objects in a robotic grasp

T Chen, A Shenoy, A Kolinko, S Shah… - 2021 IEEE/RSJ …, 2021 - ieeexplore.ieee.org
A human hand can grasp a desired number of objects at once from a pile based solely on
tactile sensing. To do so, a robot needs to make a grasp in a pile, sense the number of …

MetaGraspNetV2: All-in-one dataset enabling fast and reliable robotic bin picking via object relationship reasoning and dexterous grasping

M Gilles, Y Chen, EZ Zeng, Y Wu… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Grasping unknown objects in unstructured environments is one of the most challenging and
demanding tasks for robotic bin picking systems. Developing a holistic approach is crucial to …

Multi-object grasping-types and taxonomy

Y Sun, E Amatova, T Chen - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
This paper proposes 12 multi-object grasps (MOGs) types from a human and robot grasping
data set. The grasp types are then analyzed and organized into a MOG taxonomy. This …

Dual-arm mobile manipulation planning of a long deformable object in industrial installation

Y Qin, A Escande, F Kanehiro… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
In this letter, we present a planning method considering regrasp and mobility for the
manipulation problem of a long deformable object in an industrial scenario. The object is …