Development of humanoid robot system for disaster response through team NEDO-JSK's approach to DARPA Robotics Challenge Finals

Kakiuchi, Yohei; Kojima, Kazuyuki; Kuroiwa, Eisoku; Noda, Shintaro; Murooka, Masaki; Kumagai, Iori; Ueda, Ryuichi; Sugai, Fumihito; Nozawa, Satoshi; Okada, Kei; Inaba, Masayuki

doi:10.1109/humanoids.2015.7363446

Cited by 19 publications

(2 citation statements)

References 9 publications

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“…The RoboSimian was a four-legged robot that can walk with a one-leg or twoleg swing gait (Byl & Byl, 2015). JAXON was developed as a high-power platform that also has a high range of motion (Kakiuchi et al, 2015;Kojima et al, 2015). Valkyrie was a humanoid developed by NASA for the SRC challenge and to work specifically in space (Valkyrie, 2015).…”

Section: Related Workmentioning

confidence: 99%

Multimodal sensing and active continuous closed‐loop feedback for achieving reliable manipulation in the outdoor physical world

Chan¹,

Mizohana²,

Chen³

et al. 2018

Journal of Field Robotics

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The use of field robots can greatly decrease the amount of time, effort, and associated risk compared to if human workers were to carryout certain tasks such as disaster response. However, transportability and reliability remain two main issues for most current robot systems. To address the issue of transportability, we have developed a lightweight modularizable platform named AeroArm. To address the issue of reliability, we utilize a multimodal sensing approach, combining the use of multiple sensors and sensor types, and the use of different detection algorithms, as well as active continuous closed‐loop feedback to accurately estimate the state of the robot with respect to the environment. We used Challenge 2 of the 2017 Mohammed Bin Zayed International Robotics Competition as an example outdoor manipulation task, demonstrating the capabilities of our robot system and approach in achieving reliable performance in the fields, and ranked fifth place internationally in the competition.

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Section: Related Workmentioning

confidence: 99%

Multimodal sensing and active continuous closed‐loop feedback for achieving reliable manipulation in the outdoor physical world

Chan¹,

Mizohana²,

Chen³

et al. 2018

Journal of Field Robotics

Self Cite

View full text Add to dashboard Cite

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“…Such humanoids can especially serve as assistants for the disabled by helping them with their daily activities. Humanoid systems can also be used in mission-critical operations like disaster recovery [ 6 , 7 ], military operations [ 8 , 9 , 10 ], etc. However, the reliability of the system required in such applications is much more than that of previous applications.…”

Section: Introductionmentioning

confidence: 99%

Brain-Computer Interface-Based Humanoid Control: A Review

Chamola

Vineet

Nayyar

et al. 2020

Sensors

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A Brain-Computer Interface (BCI) acts as a communication mechanism using brain signals to control external devices. The generation of such signals is sometimes independent of the nervous system, such as in Passive BCI. This is majorly beneficial for those who have severe motor disabilities. Traditional BCI systems have been dependent only on brain signals recorded using Electroencephalography (EEG) and have used a rule-based translation algorithm to generate control commands. However, the recent use of multi-sensor data fusion and machine learning-based translation algorithms has improved the accuracy of such systems. This paper discusses various BCI applications such as tele-presence, grasping of objects, navigation, etc. that use multi-sensor fusion and machine learning to control a humanoid robot to perform a desired task. The paper also includes a review of the methods and system design used in the discussed applications.

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Design and Implementation of a High Power Robot Distributed Control System on Dependable Responsive Multithreaded Processor (D-RMTP)

Shirai

Osawa

Chishiro

et al. 2016

2016 IEEE 4th International Conference on Cyber-Physical Systems, Networks, and Applications (CPSNA)

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Development of humanoid robot system for disaster response through team NEDO-JSK's approach to DARPA Robotics Challenge Finals

Cited by 19 publications

References 9 publications

Multimodal sensing and active continuous closed‐loop feedback for achieving reliable manipulation in the outdoor physical world

Multimodal sensing and active continuous closed‐loop feedback for achieving reliable manipulation in the outdoor physical world

Brain-Computer Interface-Based Humanoid Control: A Review

Design and Implementation of a High Power Robot Distributed Control System on Dependable Responsive Multithreaded Processor (D-RMTP)

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