Rhoda is a wheeled humanoid robot developed by Rhoda AI, designed as a general-purpose pre-commercial platform. It features a bipedal-style upper body mounted on a mobile wheeled base, targeting service and light industrial applications as the company moves toward commercial deployment.
Primary use case: general-purpose pre-commercial
Payload
25 kg
Locomotion
wheeled
Balance
wheeled
Payload
25 kg
AI Capabilities
high-stiffness actuators, linear response (designed for AI control)
Availability
Pre-order
Primary Use Case
general-purpose pre-commercial
During a Field Trips with Schrep visit, Rhoda AI demonstrated robots recovering from accidental grasps, extra rubbish, trapped paper and repositioned automotive radar units while unpacking a 10 kg box of bearings and moving parts through inspection. Its Direct Video-Action architecture predicts future video frames and uses a separate inverse-dynamics model to translate them into actions, with 10–20 hours of task-specific teleoperation data required after extensive video pretraining. Rhoda AI is targeting paid production deployments before the end of 2026, but the demonstrations did not establish sustained factory reliability.
Machenta, a frontier physical AI company and Imperial College London spinout, announces a robot foundation model that learns new tasks from a single demonstration with no further training. The Vision-Demo-Action (VDA) model is trained entirely in simulation with zero real-world training data, making learning how to learn the optimisation target rather than task memorisation. The same pre-trained model is generalist, task-agnostic and cross-embodiment: it runs across six robot embodiments with different cameras and grippers, supports four teaching modes (leader-follower, VR controller, kinaesthetic teaching, and bare hands), and extends to humanoid hands. Demonstrations include instant spatial generalisation, reactivity and recovery, compositional object generalisation, demo stitching, and a one-shot one-person factory running three robots on one model. Also announced: a $40M seed round co-led by Creandum and Union Square Ventures, the largest seed raise by a UK robotics startup. The founding team traces to six years of one-shot robot learning research at Imperial's Robot Learning Lab (Implicit Graph Alignment, CoRL 2023; Instant Policy, ICLR 2025).
At GTC Berlin on October 21, 2026, NVIDIA expanded its Isaac robotics platform with the Agile ONE SN reference humanoid from Agile Robots, preconfigured with Isaac GR00T and powered by Jetson Thor, alongside Isaac Lab 3.0, the new Isaac OS runtime, the SimReady Central Library, Human 1M Dataset, and the Halos safety system. The announcement was supported by a broad European and global robotics ecosystem, with multiple industrial and humanoid partners integrating the new tools into their platforms.