Title
Robot System of DRC-HUBO+ and Control Strategy of Team KAIST in DARPA Robotics Challenge Finals.
Abstract
This paper summarizes how Team KAIST prepared for the DARPA Robotics Challenge (DRC) Finals, especially in terms of the robot system and control strategy. To imitate the Fukushima nuclear disaster situation, the DRC performed a total of eight tasks and degraded communication conditions. This competition demanded various robotic technologies such as manipulation, mobility, telemetry, autonomy, localization, etc. Their systematic integration and the overall system robustness were also important issues in completing the challenge. In this sense, this paper presents a hardware and software system for the DRC-HUBO+, a humanoid robot that was used for the DRC; it also presents control methods such as inverse kinematics, compliance control, a walking algorithm, and a vision algorithm, all of which were implemented to accomplish the tasks. The strategies and operations for each task are briefly explained with vision algorithms. This paper summarizes what we learned from the DRC before the conclusion. In the competition, 25 international teams participated with their various robot platforms. We competed in this challenge using the DRC-HUBO+ and won first place in the competition.
Year
Venue
Field
2017
J. Field Robotics
Robotic systems,Inverse kinematics,Simulation,Software system,Robustness (computer science),Artificial intelligence,Engineering,Robot,HUBO,Robotics,Humanoid robot
DocType
Volume
Issue
Journal
34
4
Citations 
PageRank 
References 
2
0.42
14
Authors
22
Name
Order
Citations
PageRank
jeongsoo lim1132.01
In-ho Lee232435.54
Inwook Shim3315.02
Hyobin Jung420.42
Hyunmin Joe520.76
Hyoin Bae6164.40
Okkee Sim783.31
jaesung oh8145.28
Taejin Jung9122.25
Seunghak Shin10132.07
Kyungdon Joo11459.07
Mingeuk Kim1281.21
Kang-Kyu Lee13236.26
Yunsu Bok1413710.91
Dong-Geol Choi15939.71
Cho Buyoun1620.42
sungwoo kim17375.93
Jungwoo Heo1820.76
Inhyeok Kim19151.36
Jungho Lee2023717.88
In So Kwon2120.42
Jun Ho Oh2291.92