4 papers
The Neverwhere Visual Parkour Benchmark Suite
Ziyu Chen, Henghui Bao, Haoran Chang +12
State-of-the-art visual locomotion controllers are increasingly capable at handling complex visual environments, making evaluating their real-world performance before deployment in…
Semantic Semi-Incremental Data-Association-Free Object SLAM
Yihao Zhang, Jungseok Hong, John J. Leonard
Data association between landmark measurements and landmark variables has long been a central challenge in SLAM, as estimation accuracy depends critically on associating measuremen…
Semantic Enhancement for Object SLAM with Heterogeneous Multimodal Large Language Model Agents
Jungseok Hong, Ran Choi, John J. Leonard
Object Simultaneous Localization and Mapping (SLAM) systems struggle to correctly associate semantically similar objects in close proximity, especially in cluttered indoor environm…
Learning Visual Parkour from Generated Images
Alan Yu, Ge Yang, Ran Choi +3
Fast and accurate physics simulation is an essential component of robot learning, where robots can explore failure scenarios that are difficult to produce in the real world and lea…