An intuitive, affordances oriented telemanipulation framework for a dual robot arm hand system: On the execution of bimanual tasks

G Gorjup, A Dwivedi, N Elangovan… - 2019 IEEE/RSJ …, 2019 - ieeexplore.ieee.org
The concept of teleoperation has been studied since the advent of robotics and has found
use in a wide range of applications, including exploration of remote or dangerous …

Brain-inspired active learning architecture for procedural knowledge understanding based on human-robot interaction

T Zhang, Y Zeng, R Pan, M Shi, E Lu - Cognitive Computation, 2021 - Springer
Improving robots with self-learning ability is one of the critical challenges for the researchers
in the area of cognitive robotics and artificial general intelligence. This robot will decide …

Optimizing demonstrated robot manipulation skills for temporal logic constraints

A Dhonthi, P Schillinger, L Rozo… - 2022 IEEE/RSJ …, 2022 - ieeexplore.ieee.org
For performing robotic manipulation tasks, the core problem is determining suitable
trajectories that fulfill the task requirements. Various approaches to compute such …

Combining learning from demonstration with learning by exploration to facilitate contact-rich tasks

Y Shi, Z Chen, Y Wu, D Henkel, S Riedel… - 2021 IEEE/RSJ …, 2021 - ieeexplore.ieee.org
Collaborative robots are expected to work alongside humans and directly replace human
workers in some cases, thus effectively responding to rapid changes in assembly lines …

“Does cinema form the future of robotics?”: a survey on fictional robots in sci-fi movies

E Saffari, SR Hosseini, A Taheri, A Meghdari - SN Applied Sciences, 2021 - Springer
Abstract Robotics and Artificial Intelligence (AI) have always been among the most popular
topics in science fiction (sci-fi) movies. This paper endeavors to review popular movies …

Equivariant motion manifold primitives

B Lee, Y Lee, S Kim, MJ Son, FC Park - 7th Annual Conference on …, 2023 - openreview.net
Existing movement primitive models for the most part focus on representing and generating
a single trajectory for a given task, limiting their adaptability to situations in which unforeseen …

Accelerating interactive reinforcement learning by human advice for an assembly task by a cobot

J De Winter, A De Beir, I El Makrini, G Van de Perre… - Robotics, 2019 - mdpi.com
The assembly industry is shifting more towards customizable products, or requiring
assembly of small batches. This requires a lot of reprogramming, which is expensive …

Remote Control Device to Drive the Arm Gestures of an Assistant Humanoid Robot

E Rubies, R Bitriá, E Clotet, J Palacín - Applied Sciences, 2023 - mdpi.com
This work presents a remote control device designed to drive the arm gestures of an
assistant humanoid mobile robot. The remote control is a master device with two passive …

Learning from demonstration for autonomous generation of robotic trajectory: Status quo and forward-looking overview

W Li, Y Wang, Y Liang, DT Pham - Advanced Engineering Informatics, 2024 - Elsevier
Learning from demonstration (LfD) enables robots to intuitively acquire new skills from
human demonstrations and incrementally evolve robotic intelligence. Given the significance …

Hand-in-Hand: Investigating Mechanical Tracking for User Identification in Cobot Interaction

A Saad, M Pascher, K Kassem, R Heger… - Proceedings of the …, 2023 - dl.acm.org
Robots play a vital role in modern automation, with applications in manufacturing and
healthcare. Collaborative robots integrate human and robot movements. Therefore, it is …