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Field
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contested environments, leveraging Vision-Language-Action (VLA) models, multi-sensor fusion (LiDAR, radar, cameras, IMU), semantic SLAM, and EW-resilient mission planning. The platform will feature modular
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for robots State Estimation, Perception and Sensor Fusion: 3D scene understanding, diagnostics, active and manipulation-centric perception System Integration, Deployment & RobotOps: ROS2 systems integration
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, information sharing, reporting and robot navigation. Develop sensor data fusion algorithms that are an essential element of the joint robot mapping tasks in the presence of data origin uncertainties. Knowledge
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Professor faculty position. The department seeks candidates with expertise in robotics, autonomous systems, and control. Applicants with expertise in related areas of electrical and computer engineering are
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research Associate in Aerial Robotics to support a cutting-edge project focused on designing
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for the program with expertise in (but not limited to) AI in medicine, biomedical electronics, medical robotics, sensors, instrumentation, brain-computer interface, intra-body communications, and medical imaging
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(UD) invites applications for a Research Software Engineer (RSE) to join the NSF AI Institute for Human-AI Cooperation (HAIC). The HAIC Institute ( https://haicinstitute.org/) is a 5-year (2026-2031
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 2 months ago
the Auctus team at the Inria center of the University of Bordeaux (Talence). Thisthesis falls within the scope of the team'sscientific axis on the design and control of robotic systems. The project will
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-making, information sharing, reporting and robot navigation. Develop sensor data fusion algorithms that are an essential element of the joint robot mapping tasks in the presence of data origin
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for a wide range of sensing modalities, including magnetic, capacitive, piezoresistive, optical, RF and temperature sensors integrated into robotic fingertips. You will investigate low-noise and low-power