World robot challenge 2020 – partner robot: a data-driven approach for room tidying with mobile manipulator

Matsushima, Tatsuya; Noguchi, Yuki; Arima, Jumpei; Aoki, Toshiki; Okita, Yuki; Ikeda, Yuya; Ishimoto, Koki; Taniguchi, Shohei; Yamashita, Yūki; Seto, Shoichi; Gu, Shixiang; Iwasawa, Yusuke; Matsuo, Yutaka

doi:10.1080/01691864.2022.2114297

Cited by 6 publications

(1 citation statement)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In recent years, service robots have been widely used in domestic environments. Typical examples are nursing care robots, cleaning robots, and food delivery robots in restaurants [1], [2], [3], [4], [5] . However, these robots are still limited in their functions and cannot perform flexible actions.…”

Section: Introductionmentioning

confidence: 99%

Flexible Human-Robot Interaction in Domestic Environment Using Semantic Map

Yano

Fukuda

Ono

et al. 2023

Proceedings of International Conference on Artificial Life and Robotics

View full text Add to dashboard Cite

We propose an efficient semantic map to realize flexible human-robot interaction (HRI) in domestic environments. Our proposed map is created from an output of Simultaneous Localization and Mapping and already-known environmental information such as furniture and room. In this study, we evaluated the effectiveness of our proposed method on two benchmark tests for HRI in RoboCup@Home held in Bangkok in 2022. In the RoboCup@Home, we employ 3D human recognition to apply our proposed map to HRI, such as "find and offer an empty seat." Our proposed method had the best score of all teams on both tests. The results of our experiments are available at https://youtube.com/playlist?list=PLfbN50Mwh2DG3OPDeCHo4TNuyrU4qYCrJ.

show abstract

Section: Introductionmentioning

confidence: 99%

Flexible Human-Robot Interaction in Domestic Environment Using Semantic Map

Yano

Fukuda

Ono

et al. 2023

Proceedings of International Conference on Artificial Life and Robotics

View full text Add to dashboard Cite

show abstract

Real-world robot applications of foundation models: a review

Kawaharazuka,

Matsushima,

Gambardella

et al. 2024

Advanced Robotics

View full text Add to dashboard Cite

Adaptive Fuzzy Inference Decision Strategy for Service Robots Tidying Up Objects

Liu

et al. 2023

IEEE Access

View full text Add to dashboard Cite

Tidying up objects poses a complex challenge for service robots, particularly when it involves scheduling operations that require real-time action for achieving optimal results. This paper presents a decision system aimed at selecting priority locations to address the problem of robots searching for miscellaneous items in indoor environments. Initially, three datasets with varying complexities are generated using real environmental data, and the environmental information is integrated into feature matrices. Subsequently, the rule base of the fuzzy inference system is trained and optimized using an equilibrium optimizer, and its performance is compared with other commonly used algorithms. The feature matrices and the optimized rule base are then incorporated into the fuzzy inference system, leveraging the traveling salesman problem to determine the optimal sequence for visiting locations. The accuracy and efficiency of the proposed method are validated through physical implementation tests using analog data. Finally, the system is applied and evaluated in real-world scenarios to validate its effectiveness. The video of experiment is available at https://youtu.be/rjMDgopM-9M.INDEX TERMS Autonomous mobile robot, equilibrium optimizer, fuzzy inference system, tidying up object problem, travelling salesman problem.

show abstract

World robot challenge 2020 – partner robot: a data-driven approach for room tidying with mobile manipulator

Cited by 6 publications

References 30 publications

Flexible Human-Robot Interaction in Domestic Environment Using Semantic Map

Flexible Human-Robot Interaction in Domestic Environment Using Semantic Map

Real-world robot applications of foundation models: a review

Adaptive Fuzzy Inference Decision Strategy for Service Robots Tidying Up Objects

Contact Info

Product

Resources

About