MERL is seeking a highly motivated Ph.D. student to conduct research on foundation models for humanoid robot loco-manipulation in factory automation, with a focus on understanding their capabilities, limitations, safety, and robustness. The internship will focus on developing humanoid systems for material handling tasks such as box/cart transportation, kitting, tool manipulation, failure recovery, and other mobile manipulation tasks in warehouse and manufacturing environments. The intern will collaborate closely with MERL researchers to develop novel algorithms that integrate Vision-Language-Action (VLA) models, world models, and robot control for robust long-horizon manipulation on real humanoid platforms. Successful candidates should have demonstrated research experience in embodied AI, robot learning, or computer vision, with the goal of publishing at leading robotics and AI conferences. Start date and duration is flexible.
Required Specific Experience
Current enrollment in a Ph.D. program in Mechanical Engineering, Computer Science, Electrical Engineering, or a related field.
Hands-on research experience with Vision-Language-Action (VLA) models and/or multimodal foundation models for robotics.
Research experience with world models for robotic planning, prediction, or decision making.
Sim-to-real transfer and robotic simulation (Isaac Lab, MuJoCo.).
Strong publication record or demonstrated research potential in robotics, embodied AI, computer vision, or machine learning. Must have some publications in top robotic or AI conferences / journals (e.g., RSS, ICRA, T-RO, RA-L, NeurIPS, ICML etc).
Desired Experience
Contact-rich manipulation and force-controlled manipulation.
Whole-body control for humanoid robots.
Dexterous manipulation or bimanual manipulation.
Reinforcement learning or imitation learning for robotics.
Robot perception, 3D vision, or state estimation.
Sim-to-real transfer and robotic simulation (Isaac Lab, MuJoCo).
Experience deploying algorithms on humanoid platforms.
The pay range for this internship position will be 6-8K per month.
Numbers & Facts
Location
Cambridge, MA
Salary
$6,000–$8,000
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Skills
Algorithmsunmatched
Artificial Intelligence (AI)unmatched
Computer Scienceunmatched
Computer Visionunmatched
Conferencesunmatched
D Programming Languageunmatched
Electrical Engineeringunmatched
Machine Learningunmatched
Manufacturingunmatched
Manufacturing Automationunmatched
Mechanical Engineeringunmatched
Publicationsunmatched
RSS (RDF Site Summary)unmatched
Reinforcement Learningunmatched
Research Skillsunmatched
Roboticsunmatched
Simulationunmatched
Student Conductunmatched
Warehousingunmatched
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