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  • šŸ‘‹ Hi, Iā€™m Alexander Schperberg (@AlexS28), a PhD student at the Robotics and Mechansisms Laboratory, headed by Professor Dennis Hong.
  • šŸ‘€ Iā€™m interested in Locomotion, Manipulation, Controls, Estimation, and Planning for Robotic Systems - from wheeled and aerial robots to legged robots.
  • šŸŒ± Iā€™m currently learning reinforcement learning and visual mapping using point clouds, towards the planning and control of a complex climbing robot.
  • šŸ’žļø Iā€™m looking to collaborate with anyone interested in planning/control of climbing/legged robots, or state estimation systems using vision data.
  • šŸ“« How to reach me - email: [email protected], Personal Website: https://sites.google.com/view/alexanderschperberg/contact?authuser=0, Twitter: https://twitter.com/ASchperberg

Alexander Schperberg's Projects

alexs28 icon alexs28

Config files for my GitHub profile.

climbsim_code icon climbsim_code

This repository creates a robot climbing simulator that runs in pybullet. It can be used for teleoperation and also for reinforcement learning. The simulator is based on the robot, SCALER (Spine-enhanced Climbing Autonomous Legged Exploration Robot), from the Robotics and Mechanisms Laboratory at UCLA.

crazyflie-tools icon crazyflie-tools

A collection of tools to develop controllers for the Crazyflie using Drake

motion_imitation icon motion_imitation

Code accompanying the paper "Learning Agile Robotic Locomotion Skills by Imitating Animals"

move37 icon move37

Coding Demos from the School of AI's Move37 Course

ompl icon ompl

The Open Motion Planning Library (OMPL)

optistate icon optistate

State estimator for legged robots using Optimization, Kalman filtering, and Learning

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