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realistic three-dimensional environments. Adaptive Assistance Modulation: Design of control strategies that anticipate movement transitions and adapt robotic assistance online to minimize physical strain
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: This research explores a novel approach to modeling human needs from interactions with context and an algorithm to plan assistive actions in response, a critical behavior for service robotic. We base our approach
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the execution of cooking tasks, followed by the use of movement primitives to represent these actions. The project also plans to integrate these actions into high-level recipe planners, with the goal
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 1 month ago
that are contextualized and intrinsically safe. Most work on VLM/LLMs for robotics focused on generating sequences of actions and plans from high level goals, offline, only targeting autonomous robots isolated from humans
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their global pose accurately to execute tasks such as pickup, transport, and assembly, but also determine the relative pose of neighboring robots to support shared perception, coordinated motion, and consistent
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reinforcement learning for robotics applications. Hands-on familiarity with robotic manipulators and motion planning. Proficiency in deep learning frameworks such as PyTorch or TensorFlow. Experience with ROS
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(https://cobotmakerspace.org ), this new and exciting post will be a key role in providing effective support to staff and students in the School working in soft robotics. In addition, this post will be
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The activity involves the development of motion planning
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Motion Planning in harsh and dynamic GPS-denied environments - Autonomous inspection planning with persistent semantic scene abstraction for advanced reasoning and task planning - Multi-agent collaborative
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“SUPRABOT – Swarming Supramolecular Robots”, which aims to develop synthetic supramolecular robots capable of autonomous motion and collective behavior under non-equilibrium conditions. The successful