Boston Dynamics Spot
Robotics Research & Development · Ongoing Research
Working with the Boston Dynamics Spot quadruped robot to develop custom payload platforms and deploy reinforcement-learning-based locomotion policies for real-world validation.
Isaac Lab
RL
ROS
Sensor Fusion
Active
payload development
Designed, 3D printed, and soldered a custom payload platform; integrated compute and perception stacks (LiDAR, RGB-D).
Custom-designed payload platform with integrated sensors
policy training
Trained reinforcement-learning-based gait policies using the NVIDIA Isaac Lab simulation environment.
Reinforcement learning policy training in NVIDIA Isaac Lab simulation
deployment & validation
Deployed trained policies on real hardware and validated performance in real-world conditions.
Deployment testing with reinforcement-learning-based gait policies
technical stack
- Robotics Platforms: Boston Dynamics Spot SDK, ROS
- Simulation: NVIDIA Isaac Lab
- Machine Learning: Reinforcement Learning (policy training & deployment)
- Hardware: Custom CAD design, 3D printing, sensor integration
- Perception: LiDAR, RGB-D camera integration and processing
- Skills: Hardware-software integration, real-world robotics deployment, sensor fusion
key contributions
- Custom Payload Design: Designed and fabricated a payload platform for compute and sensor mounting.
- RL Policy Deployment: Trained locomotion policies in simulation and validated on real hardware.
- System Integration: Integrated the perception stack with robot control systems.
- Field Testing: Conducted real-world deployment tests and performance validation.