Motion Control and Planning Intern

2 hours, 21 minutes ago
Internship
Entry Level
Artificial Intelligence and Machine Learning
Apptronik

Apptronik

Apptronik develops versatile humanoid robots to tackle tasks humans prefer not to do, aiming to reshape existence and enhance universal quality of life.

Aerospace & Defense
51-250
Founded 2015
$23M raised

Description

  • Partner with a mentor to define and execute a scoped reinforcement learning project from simulation to a functional hardware demo.
  • Iterate on learning algorithms in high-fidelity simulators and support sim-to-real transfer on physical robots.
  • Collaborate with robotics and hardware teams to troubleshoot system-level issues and understand hardware-software interactions.
  • Help refine training pipelines and data processing tools, including motion retargeting from human demonstrations.
  • Present project findings and hardware results to the broader engineering team.
  • Work on hands-on technical projects that showcase new functionality on humanoid robot systems.

Requirements

  • Currently enrolled in a BS, MS, or PhD program in Robotics, Computer Science, Mechanical Engineering, or a related technical field.
  • Strong theoretical understanding of reinforcement learning and robot dynamics.
  • Proficiency in Python and experience with RL frameworks such as PyTorch or JAX.
  • Familiarity with physics simulators such as MuJoCo, IsaacGym, or Drake.
  • Ability to write clean, maintainable code; exposure to C++ is a significant plus.
  • Prior experience through academic or personal projects involving robotic control or machine learning.
  • Excellent communication skills and a desire to learn from a world-class engineering team.
  • Experience with legged robots or robotic manipulators is a plus but not required.
  • Ability to sit for prolonged periods and work on a computer, with vision and hearing needed for communication.

Interested in this position?

Apply directly on the company website

Apply Now

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