9 citations · 15 across the 3 of their papers we have counts for
4 papers
PolyMorph: Learning Locomotion Policy for Cross-Embodiment Adaptation
Hyunsik Oh, Seunghun Jeon, Donghoon Youm +5
Reinforcement learning has enabled robust locomotion for legged robots, but learned policies are typically tied to a specific robot morphology and require additional engineering wh…
Learning Quadrupedal Locomotion for a Heavy Hydraulic Robot Using an Actuator Model
Minho Lee, Hyeonseok Kim, Jin Tak Kim +4
The simulation-to-reality (sim-to-real) transfer of large-scale hydraulic robots presents a significant challenge in robotics because of the inherent slow control response and comp…
Learning Semantic Traversability with Egocentric Video and Automated Annotation Strategy
Yunho Kim, Jeong Hyun Lee, Choongin Lee +4
For reliable autonomous robot navigation in urban settings, the robot must have the ability to identify semantically traversable terrains in the image based on the semantic underst…
Learning Vehicle Dynamics from Cropped Image Patches for Robot Navigation in Unpaved Outdoor Terrains
Jeong Hyun Lee, Jinhyeok Choi, Simo Ryu +3
In the realm of autonomous mobile robots, safe navigation through unpaved outdoor environments remains a challenging task. Due to the high-dimensional nature of sensor data, extrac…