Alternatives to Remoroo

Open-source Python SDK and CLI for training and deploying physical AI models — VLA and SLM — from managed cloud compute to real robot hardware.

Mbodi AI lets your floor staff teach industrial robots new skills by describing the task and demonstrating it — no code, no reprogramming downtime.

Rhoda AI builds video-predictive robot foundation models that learn heavy industrial manipulation from a single human demo.

Physical Intelligence builds vision-language-action robot foundation models that control any robot for any manipulation task.

Open-source simulated benchmark for language-conditioned, long-horizon robot manipulation from the University of Freiburg.

6thSense captures tactile sensing and egocentric touch data for training dexterous robot policies

Applied AI research on physical-world systems: transformer design, autonomous counter-UAS, and dexterous manipulation.

Modular humanoid robot platform for builders collecting data, training skills, and deploying autonomous robots.

Skild AI is building an omni-bodied robotic brain to control any robot for any physical task.

License the Nuro Driver for L4 autonomous driving across robotaxis, commercial fleets, and personal vehicles.

Wayve AI Driver: mapless, vehicle-agnostic autonomy that learns to drive from data, from L2 to L4.

Build, code, and program OpenCat quadruped robot kits — Bittle, Nybble Q, and the new Quaddle desk robot dog.

Cortex AI supplies real-workplace egocentric video and robot trajectory data for training embodied AI and robot foundation models.

Sharbo (Forsy) is a skill network for AI agents — encode expert workflows once, then let agents activate the right skill autonomously.

Quantstruct builds hotel housekeeping robots, starting with a linen-folding study unit (HSK-01) now in v0.1.

Open source dev kit for AI-native robotics with leader-follower teleoperation.

Zeon Systems turns a plain-language experiment prompt into a robot-executed wet lab protocol, with a world-model preview before anything moves.

Open-source autonomous driving simulator with a Python API, ROS2 support, and Unreal Engine 5.5 rendering.

Open-core LiDAR SLAM for ROS 2: LiDAR odometry, LIO, 3D SLAM and georeferencing you can modify at the source level.

OpenCOOD is an open cooperative perception benchmark for V2V 3D detection and LiDAR fusion research.

Open-source Unreal Engine plugin that turns UE4/UE5 scenes into labeled synthetic image datasets for computer vision.

Odyssey-2 Max is a causal world model that simulates physical scenes in real time as you feed it actions.

Atech turns plain-text descriptions into ESP32 firmware and snap-together module builds — vibe-code real hardware.

Trim is a foundation model for physics simulation that predicts how real-world systems evolve in time, trading exactness for latency.

BSD-licensed C++ libraries and Python bindings for SLAM, 3D vision, and sensor fusion — MRPT 3.5.2 docs.

Raw radar data — real or synthetic — feeding end-to-end autonomous driving stacks through your world model.

Sureform turns your company's operational data into a licensable AI training asset and pays you for it