RAY-TOLD combines ray-based latent dynamics from LiDAR with MPPI control and a learned policy prior via mixture sampling to lower collision rates in high-density dynamic obstacle environments compared to standard MPPI.
Td-cd-mppi: Temporal-difference constraint-discounted model predictive path integral control,
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
fields
cs.RO 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
COSMIK-MPPI delivers 100% task success and fixed 22 ms runtime for safe robot-human collision avoidance by terminating constraint-violating trajectories instead of penalizing them.
citing papers explorer
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RAY-TOLD: Ray-Based Latent Dynamics for Dense Dynamic Obstacle Avoidance with TDMPC
RAY-TOLD combines ray-based latent dynamics from LiDAR with MPPI control and a learned policy prior via mixture sampling to lower collision rates in high-density dynamic obstacle environments compared to standard MPPI.
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COSMIK-MPPI: Scaling Constrained Model Predictive Control to Collision Avoidance in Close-Proximity Dynamic Human Environments
COSMIK-MPPI delivers 100% task success and fixed 22 ms runtime for safe robot-human collision avoidance by terminating constraint-violating trajectories instead of penalizing them.