4 citations · 4 across the 5 of their papers we have counts for
6 papers
Trajectory Generation with Endpoint Regulation and Momentum-Aware Dynamics for Visually Impaired Scenarios
Yuting Zeng, Manping Fan, You Zhou +5
Trajectory generation for visually impaired scenarios requires smooth and temporally consistent state in structured, low-speed dynamic environments. However, traditional jerk-based…
Learning to Sequence and Blend Robot Skills via Differentiable Optimization
Noémie Jaquier, You Zhou, Julia Starke +1
In contrast to humans and animals who naturally execute seamless motions, learning and smoothly executing sequences of actions remains a challenge in robotics. This paper introduce…
Learning to Shift Attention for Motion Generation
You Zhou, Jianfeng Gao, Tamim Asfour
One challenge of motion generation using robot learning from demonstration techniques is that human demonstrations follow a distribution with multiple modes for one task query. Pre…
Learning Compliance Adaptation in Contact-Rich Manipulation
Jianfeng Gao, You Zhou, Tamim Asfour
Compliant robot behavior is crucial for the realization of contact-rich manipulation tasks. In such tasks, it is important to ensure a high stiffness and force tracking accuracy du…
Introducing the Simulated Flying Shapes and Simulated Planar Manipulator Datasets
Fabio Ferreira, Jonas Rothfuss, Eren Erdal Aksoy +2
We release two artificial datasets, Simulated Flying Shapes and Simulated Planar Manipulator that allow to test the learning ability of video processing systems. In particular, the…
Deep Episodic Memory: Encoding, Recalling, and Predicting Episodic Experiences for Robot Action Execution
Jonas Rothfuss, Fabio Ferreira, Eren Erdal Aksoy +2
We present a novel deep neural network architecture for representing robot experiences in an episodic-like memory which facilitates encoding, recalling, and predicting action exper…