6 papers
DreamFlow: Local Navigation Beyond Observation via Conditional Flow Matching in the Latent Space
Jiwon Park, Dongkyu Lee, I Made Aswin Nahrendra +2
Local navigation in cluttered environments often suffers from dense obstacles and frequent local minima. Conventional local planners rely on heuristics and are prone to failure, wh…
LocoVLM: Grounding Vision and Language for Adapting Versatile Legged Locomotion Policies
I Made Aswin Nahrendra, Seunghyun Lee, Dongkyu Lee +1
Recent advances in legged locomotion learning are still dominated by the utilization of geometric representations of the environment, limiting the robot's capability to respond to…
DreamFLEX: Learning Fault-Aware Quadrupedal Locomotion Controller for Anomaly Situation in Rough Terrains
Seunghyun Lee, I Made Aswin Nahrendra, Dongkyu Lee +3
Recent advances in quadrupedal robots have demonstrated impressive agility and the ability to traverse diverse terrains. However, hardware issues, such as motor overheating or join…
TRG-planner: Traversal Risk Graph-Based Path Planning in Unstructured Environments for Safe and Efficient Navigation
Dongkyu Lee, I Made Aswin Nahrendra, Minho Oh +2
Unstructured environments such as mountains, caves, construction sites, or disaster areas are challenging for autonomous navigation because of terrain irregularities. In particular…
TRIP: Terrain Traversability Mapping With Risk-Aware Prediction for Enhanced Online Quadrupedal Robot Navigation
Minho Oh, Byeongho Yu, I Made Aswin Nahrendra +8
Accurate traversability estimation using an online dense terrain map is crucial for safe navigation in challenging environments like construction and disaster areas. However, trave…
B-TMS: Bayesian Traversable Terrain Modeling and Segmentation Across 3D LiDAR Scans and Maps for Enhanced Off-Road Navigation
Minho Oh, Gunhee Shin, Seoyeon Jang +7
Recognizing traversable terrain from 3D point cloud data is critical, as it directly impacts the performance of autonomous navigation in off-road environments. However, existing se…