A force-sensitive robot system tailored for robotics and AI, offering easy-to-use features plus low-level access to robot control and learning capabilities.
Primary use case: Robotics and AI research
Locomotion
wheeled
Hand Type
unknown
Autonomy Level
unknown
AI Capabilities
Low-level robot control, Robot learning
Availability
Available for purchase by quote
Primary Use Case
Robotics and AI research
Asimov (Menlo Research) has released a Python SDK for its Asimov 1 humanoid under Apache 2.0, offering high-level walking commands, direct joint control, and access to the robot's camera, microphone and speaker via LiveKit or native UDP. The team also announced it is open-sourcing Asimov Edge, an arbiter that manages competing control sources and forwards commands to firmware, though the outlet could not locate the Edge source code at the time of review.
Menlo Research's Asimov project has open-sourced the locomotion training code for its Asimov 1 humanoid, releasing an Isaac Lab-based framework with PPO and AMP configurations, reward definitions, actuator settings, and simulated variations for domain randomization. Although the announcement references an included trained policy checkpoint, Humanoids Daily's review of the linked GitHub repository and its releases did not find a downloadable checkpoint. The release complements Asimov's prior open-source CAD/simulation files and DIY kit shipments, giving developers a starting point to retrain locomotion policies for modified hardware builds.
Menlo Research and the Asimov team are shipping the first batch of their open-source Asimov 1 DIY humanoid kit, locking in a final delivered price of $20,000.