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 …
For performing robotic manipulation tasks, the core problem is determining suitable trajectories that fulfill the task requirements. Various approaches to compute such …
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 …
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 …
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 …
The assembly industry is shifting more towards customizable products, or requiring assembly of small batches. This requires a lot of reprogramming, which is expensive …
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 …
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 …
Robots play a vital role in modern automation, with applications in manufacturing and healthcare. Collaborative robots integrate human and robot movements. Therefore, it is …