Compute Budget Allocation for Real-World Sampling-Based MPC
Overview
Source roundup from published reports. Claims below are attributed to their publishers, not independently verified. arXiv Robotics — research abstracts: Compute Budget Allocation for Real-World Sampling-Based MPC in Contact-Rich Manipulation. This study explores how to allocate compute budgets for SMPC in contact-rich manipulation. Using BAMPC, it finds that optimal allocation depends on dominant sim-to-real errors, with dynamics randomization not always most…
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- arXiv Robotics — research abstractsCompute Budget Allocation for Real-World Sampling-Based MPC in Contact-Rich Manipulation
This study explores how to allocate compute budgets for SMPC in contact-rich manipulation. Using BAMPC, it finds that optimal allocation depends on dominant sim-to-real errors, with dynamics randomization not always most effective.
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