6 citations · 7 across the 4 of their papers we have counts for
3 papers · 1 filter
AdaptManip: Learning Adaptive Whole-Body Object Lifting and Delivery with Online Recurrent State Estimation
Morgan Byrd, Donghoon Baek, Kartik Garg +5
This paper presents Adaptive Whole-body Loco-Manipulation, AdaptManip, a fully autonomous framework for humanoid robots to perform integrated navigation, object lifting, and delive…
A Design Co-Pilot for Task-Tailored Manipulators
Jonathan Külz, Sehoon Ha, Matthias Althoff
Although robotic manipulators are used in an ever-growing range of applications, robot manufacturers typically follow a ``one-fits-all'' philosophy, employing identical manipulator…
Learning-based legged locomotion; state of the art and future perspectives
Sehoon Ha, Joonho Lee, Michiel van de Panne +3
Legged locomotion holds the premise of universal mobility, a critical capability for many real-world robotic applications. Both model-based and learning-based approaches have advan…