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Mar 15, 2021 · Abstract:In-flight objects capture is extremely challenging. The robot is required to complete trajectory prediction, interception position ...
A recurrent neural network model is proposed, which is called the Neural Acceleration Estimator (NAE), to estimate the varying acceleration by observing a ...
The robot is required to complete trajectory prediction, interception position calculation and motion planning in sequence within tens of milliseconds. As in- ...
Mar 15, 2021 · The robot is required to complete trajectory prediction, interception position calculation and motion planning in sequence within tens of ...
Usage Metrics of. Neural Motion Prediction for In-flight Uneven Object Catching. Author(s): Yu, Hongxiang ; Guo, Dashun ; Yin, Huan ; Chen, Anzhe ; Xu, Kechun ...
In this work, we learn the object trajectory prediction using a recurrent neural ... Xiong, “Neural motion prediction for in-flight uneven object catching,” CoRR, ...
I am a third-year PhD (Sep. 2021 - ) student in Control Science and Engineering department at Zhejiang University. I belong to Robotics Lab, advised by Prof.
This work proposes a new methodology to find a feasible catching configuration in a probabilistic manner and uses the dynamical systems approach to encode ...
In-flight objects capture is extremely challenging. The robot is required to complete trajectory prediction, interception position calculation and motion ...