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on multimodal perception (vision–language models), probabilistic state estimation and 3D mapping/SLAM, and graph-based representations (scene/knowledge graphs). The work is funded by a Finland-US joint project in
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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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their behavior will increase exponentially. A promising research direction is the use of Vision-Language-Action (VLA) or world models that unify perception, reasoning and control in one large foundation model
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, organization, and function; models of perception, cognition, learning, and behavior; and statistical and machine-learning approaches for understanding neural data and brain function. We are particularly
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a talented and responsible
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unit: Institute of Computational Perception Entry date: 10/01/2026 Job Reference Number: 34400-2026-002088 Job Duties: Conduct independent research in the fields of recommender systems, user modeling
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strengths in the department and the university at large, including the development of cognition, perception, attention, memory, language, decision making, emotion, and/or social functioning. Priority will be
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
for social assistive robots primarily rely on a human-robot substitution model, where the robot replaces a human agent. The ĀnandaBot project (PEPR eNSEMBLE, France 2030, 2026–2030) instead investigates a
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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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. 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