103 citations · 484 across the 48 of their papers we have counts for
3 papers · 1 filter
ViNG: Learning Open-World Navigation with Visual Goals
Dhruv Shah, Benjamin Eysenbach, Gregory Kahn +2
We propose a learning-based navigation system for reaching visually indicated goals and demonstrate this system on a real mobile robot platform. Learning provides an appealing alte…
Aerial Manipulation Using Hybrid Force and Position NMPC Applied to Aerial Writing
Dimos Tzoumanikas, Felix Graule, Qingyue Yan +3
Aerial manipulation aims at combining the manoeuvrability of aerial vehicles with the manipulation capabilities of robotic arms. This, however, comes at the cost of the additional…
The Ingredients of Real-World Robotic Reinforcement Learning
Henry Zhu, Justin Yu, Abhishek Gupta +5
The success of reinforcement learning for real world robotics has been, in many cases limited to instrumented laboratory scenarios, often requiring arduous human effort and oversig…