1.53 Robotics Research Internship, Humanoid Manipulation (Summer 2026) | PhD Internship
Team: Research
Location: Boston, MA
Commitment: Internship
Workplace Type: onsite
What You Will Get To Do
- Advance Humanoid Manipulation Research
- Design, implement, and evaluate manipulation strategies for humanoid robots across diverse tasks.
- Explore loco-manipulation problems that integrate perception, planning, and control.
- Contribute to research projects from early ideas through on-robot experimentation.
- Build Systems That Bridge Research and Deployment
- Translate research concepts into working robotic systems tested on real hardware.
- Develop experimental setups and tooling to support data collection and evaluation.
- Help ensure manipulation systems are robust, reproducible, and field-relevant.
- Contribute to Robotics Foundation Model Development
- Support data collection pipelines used to train robotics foundation models.
- Work with embodiment-agnostic representations to enable transfer across robot platforms.
- Collaborate with researchers to integrate manipulation data into scalable learning frameworks.
- Collaborate Across Disciplines
- Partner with mechanical and electrical engineers on hardware integration and system bring-up.
- Work with teleoperators and field teams to refine interfaces and improve manipulation outcomes.
- Engage closely with researchers and engineers to align experiments with broader autonomy goals.
- Rapidly Iterate and Learn
- Prototype quickly, run experiments on hardware, and analyze results rigorously.
- Balance exploratory research with concrete deliverables over the course of the internship.
- Debug system-level issues spanning software, hardware, and learning.
What You Have
- Current PhD student in Robotics, Computer Science, Mechanical Engineering, AI/ML, or a closely related field.
- Research experience in robotic manipulation, loco-manipulation, or related robotics domains.
- Strong foundation in robot kinematics, dynamics, and control.
- Proficiency in Python and/or C++, with experience using robotics or ML tooling.
- Experience designing experiments and evaluating results on robotic systems (simulation or hardware).
- Curiosity, initiative, and a strong interest in embodied intelligence and real-world robotics.
The Extras That Set You Apart
- Prior experience working with humanoid robots or dexterous robotic hands.
- Background in learning-based manipulation, including imitation learning or reinforcement learning.
- Hands-on experience running experiments on real robot hardware.
- Familiarity with ROS or ROS 2.
- Publications, preprints, or open-source contributions in robotics or AI.
- Interest in bridging cutting-edge research with practical, field-ready robotic systems.
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