Robotic Platforms

Hardware

Our lab operates a range of robotic platforms that span legged locomotion, humanoid whole-body control, and spacecraft proximity operations — providing the physical testbeds that ground our algorithms in the real world.

Unitree Go2 Quadruped
01

Legged Locomotion

Unitree Go2 Quadruped

The Unitree Go2 is a high-performance legged quadruped designed for agile locomotion over complex and unstructured terrain. Equipped with onboard compute, force-torque sensing at each leg, and a suite of depth cameras and LiDAR, it provides a capable and accessible platform for deploying learned locomotion and navigation policies in the real world.

We use the Go2 to study how learning-based controllers transfer from simulation to physical hardware — enabling robots to traverse challenging environments, avoid obstacles, and execute long-horizon navigation tasks with minimal human supervision. The platform also serves as a testbed for real-time safety monitoring frameworks that must operate reliably under the physical constraints and sensor noise of outdoor deployment.

Unitree G1 Humanoid
02

Humanoid Whole-Body Control

Unitree G1 Humanoid

The Unitree G1 is a full-size humanoid robot with 29 degrees of freedom, capable of standing, walking, and performing dextrous whole-body tasks. Its human-like form factor is well-suited for operation in environments designed for people, and its high degree-of-freedom kinematic structure and hybrid dynamics pose rich challenges for whole-body control, motion imitation, and safe policy deployment.

We use the G1 as a platform to develop and evaluate constraint-aware control frameworks that combine reinforcement learning with real-time safety filters. Our work enables policies trained entirely in simulation to satisfy complex physical constraints (including joint limits, collision avoidance, and center-of-mass stability) at runtime without retraining. This makes it possible to retrofit any learned policy with safety, and adapt to constraints on the fly, as task requirements change.

Representative Papers

FreeFlyer
03

Space Robotics

FreeFlyer

The FreeFlyer is an air-bearing spacecraft testbed that floats frictionlessly on a flat granite surface, enabling hardware-in-the-loop experiments that replicate the dynamics of orbital proximity operations. Equipped with onboard computing, cold-gas thrusters, and a vision system, the platform is ideal for validating algorithms for spacecraft rendezvous, autonomous docking, and guidance, navigation, and control (GNC) without requiring a full space environment.

Our research on the FreeFlyer spans transformer-based trajectory optimization, model predictive control accelerated by learned initializations, and semantic language-guided mission planning — developing the algorithmic foundations for safe, autonomous spacecraft operations in the vicinity of other space objects. The platform bridges the gap between pure simulation and on-orbit validation, letting us stress-test algorithms under realistic actuation and sensing constraints before deployment.