activity
20202023
most citedNeuromorphic Event-Based Slip Detection and suppression in Robotic Grasping and Manipulation

53 citations · 100 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 1 cited

Bimodal SegNet: Instance Segmentation Fusing Events and RGB Frames for Robotic Grasping

Sanket Kachole, Xiaoqian Huang, Fariborz Baghaei Naeini +3

Object segmentation for robotic grasping under dynamic conditions often faces challenges such as occlusion, low light conditions, motion blur and object size variance. To address t…

cs.RO2022★ 4 cited

Neuromorphic Vision Based Control for the Precise Positioning of Robotic Drilling Systems

Abdulla Ayyad, Mohamad Halwani, Dewald Swart +3

The manufacturing industry is currently witnessing a paradigm shift with the unprecedented adoption of industrial robots, and machine vision is a key perception technology that ena…

cs.RO2021★ 1 cited

Real-Time Grasping Strategies Using Event Camera

Xiaoqian Huang, Mohamad Halwani, Rajkumar Muthusamy +5

Robotic vision plays a key role for perceiving the environment in grasping applications. However, the conventional framed-based robotic vision, suffering from motion blur and low s…

cs.RO2020★ 41 cited

Neuromorphic Eye-in-Hand Visual Servoing

Rajkumar Muthusamy, Abdulla Ayyad, Mohamad Halwani +3

Robotic vision plays a major role in factory automation to service robot applications. However, the traditional use of frame-based camera sets a limitation on continuous visual fee…

cs.RO2020★ 53 cited

Neuromorphic Event-Based Slip Detection and suppression in Robotic Grasping and Manipulation

Rajkumar Muthusamy, Xiaoqian Huang, Yahya Zweiri +2

Slip detection is essential for robots to make robust grasping and fine manipulation. In this paper, a novel dynamic vision-based finger system for slip detection and suppression i…