Thesis
Multi-task generalization for robotics
- Abstract:
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While robots that follow hard-coded instructions have been widely applied in the real world, learning intelligent robots that can autonomously accomplish different tasks in unstructured environments with unforeseen variations remains a key challenge. Inspired by the recent success of foundation models in different domains, robotic learning has been going through a paradigm shift from learning specialist robots on narrow task distributions to learning generalist robots on large-scale multitask...
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- Files:
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(Preview, Dissemination version, pdf, 5.9MB, Terms of use)
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Authors
Contributors
+ Whiteson, S
- Institution:
- University of Oxford
- Division:
- MPLS
- Department:
- Computer Science
- Sub department:
- Computer Science
- Role:
- Supervisor
+ Engineering and Physical Sciences Research Council
More from this funder
- Funder identifier:
- https://ror.org/0439y7842
- Funding agency for:
- Xiong, Z
- Programme:
- Centre for Doctoral Training in Autonomous Intelligent Machines and Systems
- DOI:
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
- Language:
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English
- Keywords:
- Subjects:
- Deposit date:
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2026-01-06
- ARK identifier:
Terms of use
- Copyright holder:
- Zheng Xiong
- Copyright date:
- 2025
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