6 accepted papers
Recent advances in teleoperation have enabled sophisticated manipulation of dexterous robotic hands, with most systems concentrating on guiding finger positions to achieve desired grasp configurations. However, while accurate finger positioning is essential, it often overlooks the equally critical t…
Conventional single LiDAR systems are inherently constrained by their limited field of view (FoV), leading to blind spots and incomplete environmental awareness, particularly on robotic platforms with strict payload limitations. Integrating a motorized LiDAR offers a practical solution by significan
In this article, a multi-DOF manipulator driven by novel hysteresis-attenuated pneumatic artificial muscles (PAMs) is designed, and the multi-DOF manipulator is composed of three manipulator units assembled in cascade, and each manipulator is driven by hysteresis-attenuated PAMs. Compared with the c
In this article, a new nonlinear disturbance observer (NDO) based fixed-time dynamic surface control (FTDSC) approach is developed to achieve desired trajectory tracking control performances of the pneumatic manipulator system driven by pneumatic artificial muscles (PAMs). To achieve active disturba
In this paper, we propose an end-to-end learning framework for event-based motion deblurring in a self-supervised manner, where real-world events are exploited to alleviate the performance degradation caused by data inconsistency. To achieve this end, optical flows are predicted from events, with wh…
Event-based cameras are a new type of vision sensor that can encode spatial-temporal context in a pixel-level event stream. Its appealing properties offer great potential for applications requiring low processing latency and low power consumption. As an effective representation of events, the surfac