Robot Planning

01 ago - Italia
agap2 Italia

ppbContract: /bFull-time, Permanent /p h3Role /h3 pWe are looking for a Robot Planning Autonomy Engineer to design, implement, and deploy planning and autonomy components across our robotic stack. You will work on decision-making, motion/task planning, behavior orchestration, and the integration of autonomy stacks with perception, control, and simulation. You will collaborate closely with roboticists and AI engineers to bring autonomy to Generative Bionics humanoid robots. /p h3Responsibilities /h3 ul liDesign and implement robot autonomy pipelines, spanning task planning, motion planning, behavior execution and verification. /li liDevelop planning algorithms for navigation / manipulation / whole-body behaviors (based on platform needs). /li liBuild robust state machines / behavior trees / policy orchestration for real-world execution. /li liIntegrate autonomy with perception, control, and localization modules. /li liImprove performance and reliability via profiling, tuning, and system-level debugging. /li liContribute to simulation workflows and sim-to-real validation strategies.



/li /ul h3Requirements /h3 ul liMaster's degree in Engineering, Robotics, Machine Learning or equivalent technical backgrounds. /li liSolid experience in humanoid robotics autonomy and planning, gained in industry or research with real deployments. /li liKnowledge and practical application of VLM, VLA, World Action Models for reasoning and planning. /li liStrong programming skills in Python and/or C++ with clean, production-oriented engineering practices. /li liWorking knowledge of ROS/ROS2 and robotic software Middlewares. /li liComfort working with real robots: logs, sensors, timing, calibration, edge cases, and debugging. /li liClear communication and the ability to collaborate across disciplines. /li liExperience with LLM tool calling and API integration. /li liAvailability to travel nationally and internationally is expected. /li liExperience with whole-body planning, legged/humanoid

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