MERL is seeking a highly motivated and qualified intern to work on the problem of loco-manipulation using legged robots. The objective of the project is to develop specific algorithms for simultaneous quadrupedal locomotion and prehensile manipulation of 3D objects placed outside the immediate workspace of the mobile robot. The ideal candidate would be a graduate student on a Ph.D. track with advanced knowledge of legged locomotion, grasp pose detection, machine vision and contact-aware object manipulation. The software developed within this project should be validated and fine-tuned on a physical legged robot during the internship. The successful candidate will work closely with MERL researchers to develop and implement novel algorithms, conduct experiments, publish research findings at a top-tier conference and assist with filing a potential associated patent. Start date and expected duration of the internship is flexible. Interested candidates are encouraged to apply with their updated CV and list of relevant publications.
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