3 citations · 3 across the 4 of their papers we have counts for
5 papers
FORTE: Forecasting Occupancy for Spatiotemporal Risk-Aware Planning in Dynamic Environments
Hahjin Lee, Young J. Kim
Safe navigation in dynamic environments requires anticipating future environmental states to account for spatiotemporal risks, specifically when and where collisions may occur. To…
ART-TEB: Adaptive Trajectory Planning for Mobile Robots in Cluttered Environments
Hahjin Lee, Young J. Kim
Trajectory planning for mobile robots remains a major challenge, particularly in cluttered environments, where existing planning algorithms often fail or produce suboptimal paths.…
Kinodynamic Task and Motion Planning using VLM-guided and Interleaved Sampling
Minseo Kwon, Young J. Kim
Task and Motion Planning (TAMP) integrates high-level task planning with low-level motion feasibility, but existing methods are costly in long-horizon problems due to excessive mot…
A Dataset and Benchmark for Robotic Cloth Unfolding Grasp Selection: The ICRA 2024 Cloth Competition
Victor-Louis De Gusseme, Thomas Lips, Remko Proesmans +59
Robotic cloth manipulation suffers from a lack of standardized benchmarks and shared datasets for evaluating and comparing different approaches. To address this, we created a bench…
Fast and Accurate Task Planning using Neuro-Symbolic Language Models and Multi-level Goal Decomposition
Minseo Kwon, Yaesol Kim, Young J. Kim
In robotic task planning, symbolic planners using rule-based representations like PDDL are effective but struggle with long-sequential tasks in complicated environments due to expo…