Training locomotion policies for the Unitree G1 humanoid using ground reaction force (GRF) data to improve dynamic feasibility and sample efficiency.
Steven Haener
M.S. Robotics @ Georgia Tech
Specializing in reinforcement learning, sensor fusion/integration, and hardware design
Training locomotion policies for the Unitree G1 humanoid using ground reaction force (GRF) data to improve dynamic feasibility and sample efficiency.
Migrated backend communication to ROS2 for synchronized tracking and multi-robot coordination; integrated additional sensors to support SLAM and controls research.
Designing custom foot hardware and integrating multimodal sensors for terrain classification to inform control strategies and increase stability.
Stroke rehabilitation device prototype focused on thumb mobilization and user testing.
Designed and built a wheat stalk strength measurement machine for field testing and data collection.
Engineered and documented pipeline infrastructure and automation systems for utility clients.
Assessment and reporting for large commercial buildings with focus on mechanical systems and building science.
Developed automated boulder removal systems combining drone perception and ground machinery.
GPA: 4.0
Focuses on Artificial Intelligence, Controls, and Mechanics
Coursework: Robotics Research (ROS2), AI, ML, Deep Learning, Deep RL, Networked Control, Bio-mechatronics, Advanced Dynamics, Nonlinear Controls, Robotic Dynamics/Control, Advanced Mobile Robotics
GPA: 3.76
Minors in Math, Music, and German
Coursework: Robotics, Python, Controls Systems, Dynamic Modeling, Mechanical System Design, Electrical Circuits, Numerical Methods, Partial DiffEQ, Machine Component Design, Experimental Methods