The Rhoda AI Robot Platform is a general-purpose mobile manipulator featuring a humanoid upper body (dual 7-DOF arms with dexterous hands) on a wheeled base. Developed by Rhoda AI (Palo Alto), it uses the FutureVision AI system trained on internet-scale video. It supports 25kg rated / 40kg peak payload and targets industrial automation tasks.
Primary use case: General-purpose industrial manipulation, warehouse automation, and factory operations
Payload
25 kg
Locomotion
wheeled
Hand Type
gripper
Payload
25 kg
Max Lift/Arm
25 kg
Autonomy Level
fully_autonomous
AI Capabilities
vision, planning, manipulation, learning
Availability
coming_soon
Primary Use Case
General-purpose industrial manipulation, warehouse automation, and factory operations
HD Hyundai Robotics unveiled an AI robot described as having human-like arms. No further details, specifications, funding, investors, or people are provided in the supplied text.
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).