robot-learning
(10)
Instance
Instance is a San Francisco startup building the autonomous evaluation rig for robot learning. Its first product is a success detector that watches a robot's rollout video, reads the task description, and returns a verdict on whether the task was completed - with a subtask-by-subtask breakdown. Founded in 2026 by MIT classmates and childhood friends Claire Mao and Lucy Cai, Instance is part of Y Combinator's Summer 2026 batch and aims to remove humans from the tedious loop of watching robots, grading them, and resetting the scene.
Sensei Robotics
Sensei Robotics (YC S24) is a San Francisco startup building the data layer for robot learning. It pairs a sub-$300 sensorized exoskeleton arm with a distributed network of trained human operators - 'Senseis' - who perform real-world manipulation demonstrations on demand. Robotics and AI teams submit a task like folding cloth or loading a dishwasher, and Sensei returns curated, labeled human-demonstration data. The company positions itself as 'the Scale AI for robotics training data,' claiming roughly a tenth of the cost and twice the speed of conventional teleoperation setups.
Lightwheel
Lightwheel is a Physical AI infrastructure company building the data layer that teaches robots to work in the real world. It produces physically accurate SimReady 3D assets, egocentric human demonstration data, and evaluation platforms so robots can learn safely and cheaply in simulation before they are deployed. Founded in 2023 by former autonomous-driving-simulation lead Steve Xie, Lightwheel partners with NVIDIA and supplies simulation assets and synthetic datasets to leading robotics teams.
Mbodi AI
Mbodi AI is a New York robotics-software company building an embodied AI platform that lets people teach industrial robots new skills through plain natural language and short demonstrations - no code and no specialized engineers. Founded in 2024 by two former Google Public DNS engineers, the platform combines generative AI, agent orchestration and symbolic reasoning to turn everyday instructions into precise, reliable robot actions that run in production within minutes and transfer across an entire robot fleet. Mbodi is a Y Combinator company with a joint commercialization partnership with ABB Robotics.
Sebastian Peralta
Sebastian Peralta is a physicist-turned-roboticist and co-founder of Mbodi AI, a New York startup teaching industrial robots new skills through plain language and quick demonstrations instead of weeks of reprogramming. A former core engineer on Google Public DNS (8.8.8.8) with a triple major in electrical engineering, computer science, and physics from UPenn, he builds embodied-AI systems where one robot's lesson instantly becomes the whole fleet's. Mbodi won ABB Robotics' global AI Startup Challenge, reached the Startup Battlefield Top 20 at TechCrunch Disrupt 2025, and is rolling out factory deployments with a Fortune 100 consumer-goods partner.
Tao Chen
Tao Chen is the co-founder and CEO of Dexmate, a Santa Clara robotics startup building general-purpose mobile humanoid robots with genuinely dexterous hands. An MIT CSAIL PhD whose research on in-hand object reorientation won the CoRL 2021 Best Paper Award and landed in Science Robotics, Chen left academia to chase a single conviction: that robots will only matter when their hands can do the small, fiddly, human things. Dexmate's first product, Vega, a folding dual-armed robot built in under six months, is his bet that the moment has finally arrived.
Deepak Pathak
Deepak Pathak is the co-founder and CEO of Skild AI, the Pittsburgh robotics company building a single general-purpose 'brain' that can run any robot from a quadruped to a humanoid. A Raj Reddy Associate Professor at Carnegie Mellon, he earned a gold medal at IIT Kanpur and a PhD at UC Berkeley before betting that physical intelligence, not language, is the real path to AGI. In January 2026 Skild raised $1.4 billion at a valuation north of $14 billion, backed by SoftBank, Nvidia, and Jeff Bezos.
Josh Gruenstein
Josh Gruenstein is the co-founder and CEO of Tutor Intelligence, an MIT CSAIL spinout building AI-powered robots that work alongside people in American factories and warehouses. He leases robots by the hour instead of selling them, betting that fleet-scale learning, not bigger algorithms, is what finally puts a robot in every factory. In December 2025 the company raised a $34M Series A led by Union Square Ventures, bringing total funding to roughly $42M.
Tony Zhao
Tony Zhao is the co-founder and CEO of Sunday, a Mountain View-based robotics company building Memo - a home robot trained on 10 million episodes of real household routines. A Stanford PhD dropout and UC Berkeley EECS alum, Zhao invented ALOHA and ACT during his doctoral research, open-source frameworks that became foundational to modern robot manipulation. Sunday reached unicorn status in March 2026 with a $165M Series B led by Coatue, putting the company at a $1.15B valuation with a mission to put a helpful robot in every home.
Pieter Abbeel
Pieter Abbeel is one of the world's leading AI and robotics researchers, a professor at UC Berkeley, director of the Berkeley Robot Learning Lab, and co-founder of Covariant. His pioneering work in robot learning through apprenticeship learning and reinforcement learning has shaped modern robotics. His students have co-founded over a dozen AI companies including OpenAI, Perplexity, and Physical Intelligence. In 2024, he joined Amazon to lead frontier model research, and in December 2025 was appointed head of Amazon's LLM efforts within the AGI organization.