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cs.RO2026
Trajectory Planning without Trajectory Data: A Manifold-Guided Approach
Silong Yong, Anji Liu, Cunxi Dai +5
A common way for trajectory planning is to leverage generative models trained on large collections of expert trajectories. At inference time, the model generates executable traject…
cs.RO2026
COHORT: Hybrid RL for Collaborative Large DNN Inference on Multi-Robot Systems Under Real-Time Constraints
Mohammad Saeid Anwar, Anuradha Ravi, Indrajeet Ghosh +3
Large deep neural networks (DNNs), especially transformer-based and multimodal architectures, are computationally demanding and challenging to deploy on resource-constrained edge p…