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applicable law. 3. Work plan: The selected candidate will work out R&D on ML-based Perception for AMRs targeting industrial applications. The work plan comprises the following tasks: - Development of a
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Embodied AI, with a focus on integrating AI-driven perception, reasoning, and action to enable intelligent robotic behavior across diverse real-world environments. The position involves working on embodied
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. Candidates should demonstrate technical proficiency in one or more of the following areas: Embodied AI and robot learning Vision-language-action (VLA) or multimodal AI modeling Perception, control
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(e.g., conformal prediction, risk-aware decisions); and robotics for fabs?AMR planning/tasking, robotic vision & multimodal perception, wafer/FOUP/tool handling, and RL/Sim2Real. The successful candidate
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PhD Fellow in Anthropology: Bushmeat, Infrastructure and Zoonotic Risk in Africa–China Contact Zones
relations, trade practices, and local perceptions of zoonotic risk. Analyse how roads, mining, urbanisation, and migration influence bushmeat markets and disease risk. Produce a doctoral dissertation aligned
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multimodal interaction. Our research aims to bridge the gap between visual perception and actionable assistance, with applications including: · Video-based skill coaching and instruction
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- Multimodal Perception and Localization for Robots in Extreme Visibility Conditions - Source Localization and Hazard Assessment Using Multisensor Fusion. - Semantic-Based Exploration Strategies for High-Risk
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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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. Candidates should demonstrate technical proficiency in one or more of the following areas: Embodied AI and robot learning Vision-language-action (VLA) or multimodal AI modeling Perception, control
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Embodied AI, with a focus on integrating AI-driven perception, reasoning, and action to enable intelligent robotic behavior across diverse real-world environments. The position involves working on embodied