Contexte et atouts du poste
Context and funding:
The position is funded by the PEPR O2R, a national French program to advance research in robotics which reunites several French laboratories in robotics, AI, and Social and Human Sciences.
In this context, the HUCEBOT team is involved in the projects AS3 and PI3, with the challenge to design AI-powered controllers for exoskeletons for improved assistance.
About the team:
The candidate will join the Human Centered Robotics team (HUCEBOT) in the Inria Center of the University of Lorraine in Nancy, France.
The team HUCEBOT develops control, learning, and interaction skills of human-centered robots, such as humanoid, mobile manipulators and exoskeletons. The team develops learning and control algorithms for teleoperated / supervised / autonomous robots, involved in complex manipulation tasks in man-made environments. It also develops prediction and control techniques for wearable exoskeletons designed to assist humans at work. The team has excellent robotics facilities, including several humanoid robots (Talos, iCub, G1), manipulators, drones, passive and active exoskeletons, wearable sensors, force plates etc. Its laboratory has a 3D printing facility and a mechatronic workshop for prototyping and maintenance.
The team consists of many research scientists, postdocs, PhD and has the support of 1 software and 1 mechatronics engineer. The team is international – English and French speaking. French is not required, although free French classes are available in the institute for non-French speakers.
About the laboratory and Nancy:
The Inria Center of the University of Lorraine, is co-located with the Loria laboratory, in the Science and Technology Campus of the University of Lorraine (Nancy, France), next to the Botanical Gardens, at 20 minutes by public transportation or bike from the Nancy train station and City Center. Several student residences and facilities are at walking distance. Nancy is a University town, with a high quality of life and a vibrant student and expat community.
Mission confiée
The internship is about equipping an exoskeleton with microphones and cameras to enable vocal commands. The intern will work on an active exoskeleton prototype. He/she will select adequate hardware (sensors and electronics) to enable audio processing and audio-to-text processing embedded on the exoskeleton, as well as visual processing to retrieve contextual information, using AI systems. He/she will conduct experiments with the sensorized exoskeleton to process audio signal, detect commands in natural language, and retrive contextual information.
The sensors will be mounted on one of the team exoskeletons and tests will be done in laboratory conditions. On the software side, the sensors will have to be visible on a ROS2node. The candidate will collaborate with the team to re-use existing audio-to-text models (e.g., Whisper) and visual language models (VLMs).
The intern will be in charge of sensor integration and conducting validating experiments.
The internship is for a 3 to 6 months period (6 months ideally).
Principales activités
Compétences
Avantages
Rémunération
€4.35/hour
Master Thesis: Application of generative AI technology for SystemVerilog code generation (f/m/div) You love technology, a dynamic environment and want...
How to applyMicrosoft Research Health Futures UK conducts world-class research at the intersection of AI and healthcare, drawing on deep expertise in...
How to applyYour role Are you passionate about the potential of Artificial Intelligence (AI) and Generative AI (GenAI)? Do you want to...
How to applyMERL is looking for a self-motivated graduate student to work on robust estimation in Computer Vision. Based on the candidate’s...
How to applyJob Details: Job Description: Intel Labs is an industry-leading research organization, responsible for driving Intel’s technology pipeline, product innovations, and...
How to applyOutlier helps the world’s most innovative companies improve their AI models by providing human feedback. Are you an experienced Clinical...
How to apply