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Postdoctoral Research Assistant in Decision-making under uncertainty for robots Grade 7 : £39,424 - £47,779 per annum We are looking for a post-doctoral research assistant to join the GOALS group
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localization, planning and control, manipulation, robot learning, embodied AI, human–robot interaction, multi-robot systems, mechatronics, robotic system integration, and autonomous decision-making for physical
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Centar izvrsnosti MARBLE drustvo s ogranicenom odgovornoscu za istrazivanje i razvoj | Croatia | 12 days ago
for robotic planning and control Distributed and decentralised coordination and decision-making for multi-robot systems Communication-aware and connectivity-constrained multi-robot coordination Adaptive mission
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directions. Research Topics: Long-term Autonomy in Uncertain Environments a. Planning and Reasoning under Uncertainty - Decision-making under uncertainty - Decentralized planning and coordination for multi
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Future robots must perceive, predict, communicate, and decide reliably in complex, human–robot shared environments. The Mobile Robotics (https://www.aalto.fi/en/department-of-electrical-engineering
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, including unmanned aerial vehicles (UAVs). The research will explore the joint design of communication, sensing, control, and decision-making mechanisms to enable efficient, reliable, and intelligent robotic
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and efficient navigation systems for inspection robots, enabling autonomous localization, decision-making, motion planning and safe navigation in complex, dynamic real-world environments. The Research
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
performance. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-10279 Requirements Skills/Qualifications Applicants should have: MSc degree in Robotics or a related discipline. Strong
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the work aligns with your goals and aspirations. For more details see https://binyshlab.com/positions/ What will you do? Conventional robotic bodies rely on computationally intensive centralized control and
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, or distributed swarm algorithms would be advantageous. Experience Experience integrating sensing, localisation, navigation, communication, control, and decision-making components within a robotics or autonomous