Efficient Event-Based Robotic Grasping Perception using Hyperdimensional Computing
Eman Hassan,
Zhuowen Zou,
Hanning Chen
et al.
Abstract:Grasping is Fundamental in various robotic applications, particularly within industrial contexts. Accurate inference of object properties is a crucial step toward enhancing grasping quality. Dynamic and Active Vision Sensors (DAVIS), increasingly utilized for robotic grasping, offer superior energy efficiency, lower latency, and higher temporal resolution than traditional cameras. However, the data they generate can be complex and noisy, necessitating substantial pre-processing. In response to these challenges… Show more
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