Xuezhi Niu
Doktorand vid Institutionen för informationsteknologi; Datorteknik
- Telefon:
- 018-471 54 49
- E-post:
- xuezhi.niu@it.uu.se
- Besöksadress:
- Hus 10, Regementsvägen 10
- Postadress:
- Box 524
751 20 UPPSALA
Ladda ned kontaktuppgifter för Xuezhi Niu vid Institutionen för informationsteknologi; Datorteknik
- ORCID:
- 0009-0003-2381-1850
Kort presentation
Mitt kontor är i rum ÅNG 105281.
För mer information, besök min personliga webbsida: personlig sida
Nyckelord
- cyberfysiska system
- reinforcement learning
- heterogen robotik
- system och reglerteknik
Publikationer
Senaste publikationer
-
Ingår i CHI '26: Proceedings of the 2026 CHI Conference on Human Factors in Computing System, 2026
- DOI för "What Do I Do Now?": Spontaneous Human Responses to Robot Effectiveness and Efficiency Malfunctions in Collaborative Robotics
- Ladda ner fulltext (pdf) av "What Do I Do Now?": Spontaneous Human Responses to Robot Effectiveness and Efficiency Malfunctions in Collaborative Robotics
-
Enabling Symbiosis in Multi-Robot Systems Through Multi-Agent Reinforcement Learning
Ingår i 2025 IEEE 8th International Conference on Industrial Cyber-Physical Systems, ICP, 2025
-
Optimal Gait Control for a Tendon-Driven Soft Quadruped Robot by Model-Based Reinforcement Learning
Ingår i 2025 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), s. 9287-9293, 2025
-
Ingår i 2025 9TH INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION SCIENCES, ICRAS, s. 112-117, 2025
Alla publikationer
Konferensbidrag
-
Ingår i CHI '26: Proceedings of the 2026 CHI Conference on Human Factors in Computing System, 2026
- DOI för "What Do I Do Now?": Spontaneous Human Responses to Robot Effectiveness and Efficiency Malfunctions in Collaborative Robotics
- Ladda ner fulltext (pdf) av "What Do I Do Now?": Spontaneous Human Responses to Robot Effectiveness and Efficiency Malfunctions in Collaborative Robotics
-
Enabling Symbiosis in Multi-Robot Systems Through Multi-Agent Reinforcement Learning
Ingår i 2025 IEEE 8th International Conference on Industrial Cyber-Physical Systems, ICP, 2025
-
Optimal Gait Control for a Tendon-Driven Soft Quadruped Robot by Model-Based Reinforcement Learning
Ingår i 2025 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), s. 9287-9293, 2025
-
Ingår i 2025 9TH INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION SCIENCES, ICRAS, s. 112-117, 2025