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DEVCOM Army Research Laboratory

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Limbed Robotics: Dynamic Whole-Body Mobility and Manipulation DEVCOM Army Research Laboratory in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

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Country

United States

University

DEVCOM Army Research Laboratory

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Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Mathematics
Monte Carlo Simulation
Robotics
Verification And Validation
Autonomous System
Control System
ML

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About this position

This opportunity is centered on limbed robotics and the development of dynamic whole-body mobility and manipulation for autonomous robot platforms. The work aims to improve robust autonomous behaviors for agile traversal and manipulation in complex environments, with emphasis on how robots move, balance, and interact with their surroundings.

The project uses physics-based, multi-body simulation to support the design of robot behaviors and to build understanding of the dynamics governing the system. Research directions can include model-based methods, machine learning approaches, or hybrid strategies that combine both. A major part of the work is transferring behaviors from simulation to physical robot platforms for verification and tuning, then iterating between simulation and experiment to improve performance and efficiency.

The opening spans multiple robot morphologies and platforms, including wheeled, aerial, quadrupedal, and bipedal systems, with or without manipulators. The description also leaves room to investigate other forms of unique mobility and manipulation, making it a broad autonomous robotics research opportunity within a government research environment.

The work is hosted by the DEVCOM Army Research Laboratory within the Science of Intelligent Systems Division, which focuses on embodied autonomy science and technologies for future Army air and ground vehicles. The division works through in-house research and collaborations with other Army organizations, academia, and industry, and it is connected to broader Army research efforts through programs such as CRAs and MURIs.

The advisors listed for the work are Jason Pusey and Chad Kessens.

Funding details

Available

What's required

Citizenship: U.S. citizens strongly preferred. Applicants must hold a bachelor's, master's, or doctoral degree. The opportunity is open to candidates in computer, information and data sciences, engineering, mathematics and statistics, physics, and science & engineering-related chemistry and materials sciences. Applicants must be at least 18 years of age. References should come from persons familiar with the applicant's educational and professional qualifications, including a thesis or dissertation advisor if applicable. Transcripts verifying receipt of degree must be submitted; an unofficial copy is acceptable.

How to apply

Apply through the Zintellect application portal using the provided opportunity link. Submit a CV or resume, three reference forms, and transcripts verifying degree completion. Send the reference-form email to your selected referees after starting the application.

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