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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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or if you have questions about a job posting, please contact Human Resources at 479.575.5351. Department: Architecture Hourly C Department's Website: https://fayjones.uark.edu/ Summary of Job Duties: The
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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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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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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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to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee The candidate is required to carry out research in embodied AI, especially focused on vision
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-model approaches. Experience with medical image analysis or real-time computer vision, particularly fluoroscopy or device tracking. Experience in endovascular, surgical or medical robotics, image-guided