Frontier research lab · Physical AI

Physical AI for the world’s most extreme environments.

Ensemble Control is a frontier research lab inventing the sensing and actuation that let autonomous machines perceive and act where humans and conventional robots cannot — in orbit, the deep sea, and disaster zones.

Sim → RealReinforcement learning
Soft & continuumActuation research
Orbit · sea · disasterExtreme environments
live render · in-orbit servicing
Resilient Sensing
Soft Actuation
Sim-to-Real Transfer
Continuum Robotics
Orbital Servicing
Optimal Control
Reinforcement Learning
State Estimation
Motion Planning
Extreme Environments
Resilient Sensing
Soft Actuation
Sim-to-Real Transfer
Continuum Robotics
Orbital Servicing
Optimal Control
Reinforcement Learning
State Estimation
Motion Planning
Extreme Environments
Research areas

Where we focus our research.

Sensing, actuation, and the learning that ties them together — engineered for environments that break conventional robots.

01

Sensing

Resilient, multimodal perception and state estimation under radiation, pressure, darkness, and signal loss — so a machine always knows where it is and what surrounds it.

02

Actuation

Soft, continuum, and high-dexterity actuators that survive and perform where rigid robots fail — like an octopus arm hot-swapping a server rack in orbit.

03

Physical AI

Sim-to-real reinforcement learning and optimal control that carry policies from millions of simulated trials into the unforgiving real world.

Capabilities

Built for where robots break down.

Our systems are designed for the environments most automation avoids — orbit, the deep sea, and the aftermath of disaster.

Multimodal
Resilient sensing
Perception under occlusion & signal loss
High-DoF
Continuum actuation
Dexterity rigid arms can't reach
−270→125°C
Thermal envelope
Vacuum, pressure, and radiation
Sim → Real
Policy transfer
Millions of trials, then the real world
Flagship program

Orbital data-center servicing

An eight-arm continuum robot that autonomously hot-swaps server racks on an orbiting data center — trained entirely in simulation, then transferred to hardware.

EnvironmentLow Earth Orbit
Manipulator8-arm soft continuum robot
TaskAutonomous rack hot-swap
LearningSim-to-real reinforcement learning
Collaborate with us
Research & Publications

Open Problems We're Working On

Dr. Abhishek Gupta's talks and lectures on the reinforcement learning, control, and perception that underpin Physical AI for extreme environments.

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Associate Professor
ECE, Ohio State University
Co-Director
IITB-OSU Frontier Center
Founder
Ensemble Control Inc.
ConferenceRecent

Reinforcement Learning for General MDPs

TDAI AI Summit, Ohio State University

IndustryRecent

Perturbation Theory for High-Dimensional Control

General Motors R&D

TeachingRecent

Reinforcement Learning Course

Ohio State University

Conference2025

Generalized Policy Gradient Theorems

Allerton Conference 2025, UIUC

Collaborate on Research

We work with collaborators across sensing, soft and continuum actuation, and sim-to-real control. If these problems interest you, start a conversation.

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Collaborate with the lab.

Researchers, partners, and prospective collaborators — tell us what you’re working on and how it touches sensing, actuation, or Physical AI.

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