Robotic Arm
Robotic arms are being actively researched to enhance their capabilities in diverse applications, from industrial automation to assistive technologies and space exploration. Current research emphasizes improving control algorithms (e.g., model predictive control, reinforcement learning) and developing more adaptable designs, including hybrid mechanisms and soft robotics, to handle complex tasks and interact safely with humans and unstructured environments. These advancements are driving progress in areas like human-robot collaboration, deformable object manipulation, and precise control for applications such as surgery and assistive robotics, ultimately impacting various fields through increased efficiency and improved human-machine interaction.
Papers
Ultra-slender Coaxial Antagonistic Tubular Robot for Ambidextrous Manipulation
Qingxiang Zhao, Runfeng Zhu, Xin Zhong, Baitao Lin, Xiandi Wang, Xilong Hou, Jian Hu, Kang Li
Goal State Generation for Robotic Manipulation Based on Linguistically Guided Hybrid Gaussian Diffusion
Yichen Xu, Faliang Chang, Chunsheng Liu, Dexin Wang
Polymer/paper-based double touch mode capacitive pressure sensing element for wireless control of robotic arm
Rishabh B. Mishra, Wedyan Babatain, Nazek El-Atab, Aftab M. Hussain, Muhammad M. Hussain
Low-cost foil/paper based touch mode pressure sensing element as artificial skin module for prosthetic hand
Rishabh B. Mishra, Sherjeel M. Khan, Sohail F. Shaikh, Aftab M. Hussain, Muhammad M. Hussain