At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we’ll give you what you need to make it happen. It won’t always be easy, growing takes grit. But at ABB, you’ll never run alone. Run what runs the world. This role sits within ABB's Robotics business, a leading global robotics company. We're entering an exciting new chapter as we’ve announced the plan for SoftBank Group to acquire ABB Robotics. SoftBank is a globally recognized technology group and investor/operator focused on AI, robotics, and next-generation computing. By joining us now, you’ll be part of a pioneering team shaping the future of robotics—working alongside world-class experts in a fast-moving, innovation-driven environment. This Position reports to: R&D Center Lead Your role and responsibilities This thesis combines both investigation and prototype development in the area of tactile-guided robotic manipulation. The student will investigate how tactile sensing can improve the performance and robustness of contact-rich manipulation tasks. A digital twin of a robot arm equipped with a Psyonic/Linkerbot Hand will be provided by the supervisors in NVIDIA Isaac Sim. Building on this foundation, the student will extend the simulation framework with tactile sensing capabilities, develop reinforcement learning training environments and pipelines in NVIDIA Isaac Lab, and evaluate tactile-guided manipulation policies in simulation, with optional validation on real hardware. The work is expected to include: Conducting a literature review on tactile sensing, dexterous manipulation, and robot learning methods on Isaac Sim & Isaac Lab. Developing tactile sensing simulation based on contact information available in Isaac Sim. Implementing and training reinforcement learning policies for contact-rich manipulation tasks such as grasp stabilization, object manipulation, pick-and-place, and insertion. Comparing tactile-aware policies against proprioception-only baselines. Evaluating policy performance in terms of task success rate, robustness, and sim-to-real transfer capability. The project has a well-defined technical direction, but students are encouraged to propose and explore their own ideas regarding tactile representations, learning algorithms, task design, or sim-to-real transfer strategies. We are open to suggestions that align with the overall goal of improving tactile-guided robotic manipulation. Details: Period: January to July, 2027 Number of credits: 30 ECTS/högskolepoäng (hp) Number of students for this thesis work: 1 Location: on-site, Västerås The thesis will be jointly supervised by two supervisors with complementary expertise in robotics and AI. Students will receive guidance on simulation development and tactile sensing, as well as on robot learning methods such as reinforcement learning and imitation learning. Additional expertise in robotics and control systems will be available throughout the project, providing comprehensive support across both AI and robotics domains. Qualifications for the role Master students interested in robotics and reinforcement learning Python, C++, ROS 2 experience is preferred Robotics fundamentals (kinematics, dynamics, control) Machine learning basics Linux and Git More about us Recruiting Manager LiWei Qi, +46 73 021 2309, Supervisors: Tong Hui, [email protected] Zhen Li [email protected] will answer your questions. Positions are filled continuously. Please apply with your CV, academic transcripts, and a cover letter in English. We look forward to receiving your application! A Future Opportunity Please note that this position is part of our talent pipeline and not an active job opening at this time. By applying, you express your interest in future career opportunities with ABB. We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to learn more about us and see the impact of our work across the globe. Why ABB Working at ABB gives you the opportunity to contribute to a healthier and more prosperous world. Add to your story by joining a passionate team, focused on pushing the boundaries of technology to drive performance, shape new business models and find new ways of working that benefit our customers, partners and society. We want you to be proud of being part of ABB. We care At ABB, we care about our people and their stories. We create safe, fair, equitable and inclusive working environments in which our people can succeed and develop, regardless of gender, ethnicity, sexual orientation or cultural, religious or social background. Diverse teams make us stronger. ABB is also committed to a high standard of integrity in everything we do. We grow We help our people succeed and develop, and we empower them to create their own careers at ABB. Our benefits, reward and development programs encompass a wide array of offerings. How to apply Do you want to shape the future, together with us? Get more insights into our recruitment process and find some helpful tips and tricks how to join the team. Make our story your story.

Thesis Work - Tactile-Aware Reinforcement Learning for Contact-Rich Manipulation.

more at Abb.

Produktionsberedare – ABB Machines

Warehouse & Logistics Manager – MV/LV Switchgear

Senior Procurement Specialist

similar roles.

Site Leader

Adult Probation Officer Supervisor

Deputy Sheriff (Events)

Senior Microsoft BI/Analytics Consultant

Workday Integrations Consultant

Freshers B tech EE EEE ECE EIE Required