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By preserving the semantics of pretrained models while achieving superior compositional generalization, InternVLA-A1.5 redefines how robots can learn and execute complex tasks.
ExS2D slashes execution steps by over half while relying solely on single-arm training data, revolutionizing dual-arm manipulation efficiency.
BestMan enables seamless integration of real-world observations into simulation, revolutionizing how mobile manipulators learn and adapt in unstructured environments.
UMI-Bench 1.0 reveals that standardized real-world evaluations can dramatically improve the reliability of UMI-style robotic manipulation policies.
ARM CCA's hardware-enforced isolation slashes confidential container startup latency and overhead, making them practical for short-lived workloads.
