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. Vision and language foundation models can support this kind of interpretation, but they rarely model the physics of the terrain or the dynamics of the robot. This position will develop methods that connect
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several robots working together. Communication between the robots is often intermittent, and each robot must interpret its surroundings well enough to judge risk on its own. Vision and language foundation
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teleoperation and data-collection infrastructure, support the collection and curation of robot demonstration datasets, and assist in training, deploying, and evaluating vision-language-action (VLA) policies
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or practical experience in robot perception, state estimation, computer vision, or robotic manipulation under uncertainty. Experience with open-source software contributions, code versioning (Git), or patent
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on integrating multimodal large language models (LLMs) with embodied AI. This position will involve the development and deployment of Vision-Language-Action models for real-world robotic applications, such as
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. Key Responsibilities: Develop and implement perception and control algorithms for robotic arms and embodied AI systems. Assist in integrating multimodal AI models (vision, language, force sensors) with
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experience statement (each two pages). In addition, applicants are asked to submit a two-page vision statement on where they would lead the future of the Robotics discipline, including education and research
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 8 hours ago
supporting robotics and unmanned systems include the Charlotte Aviation Innovation and Research Institute (AIR) and the National Defense and Intelligence Innovation Institute (NDI3). Vacancy Open to All
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Job Title: Chief Editor, Nature Robotics Location: Shanghai, Madrid or Pune -Hybrid Working Model Application Deadline: 1st November 2026 (candidates will be considered as they apply) About Springer
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robots capable of moving beyond passive diagnosis towards active, personalised treatment inside the gastrointestinal tract. The research will contribute to the long-term vision of autonomous medical