5 papers
Partial Motion Imitation for Learning Cart Pushing with Legged Manipulators
Mili Das, Morgan Byrd, Donghoon Baek +1
Loco-manipulation is a key capability for legged robots to perform practical mobile manipulation tasks, such as transporting and pushing objects, in real-world environments. Howeve…
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…
Unsupervised Skill Discovery as Exploration for Learning Agile Locomotion
Seungeun Rho, Kartik Garg, Morgan Byrd +1
Exploration is crucial for enabling legged robots to learn agile locomotion behaviors that can overcome diverse obstacles. However, such exploration is inherently challenging, and…
PrivilegedDreamer: Explicit Imagination of Privileged Information for Rapid Adaptation of Learned Policies
Morgan Byrd, Jackson Crandell, Mili Das +3
Numerous real-world control problems involve dynamics and objectives affected by unobservable hidden parameters, ranging from autonomous driving to robotic manipulation, which caus…
Understanding Expectations for a Robotic Guide Dog for Visually Impaired People
J. Taery Kim, Morgan Byrd, Jack L. Crandell +3
Robotic guide dogs hold significant potential to enhance the autonomy and mobility of blind or visually impaired (BVI) individuals by offering universal assistance over unstructure…