Autonomous Robot Navigation
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Vision, LiDAR, magnetic field, beacon-based SLAM (Simultaneous Localization And Mapping)
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Autonomous navigation of quadruped robots
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Autonomous navigation of self-driving cars
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Indoor positioning in a fire disaster situation
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UAV (Unmanned Aerial Vehicle) navigation
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Self-localization at GPS outages
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Underground navigation
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Autonomous navigation of surface vehicles
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Underwater robot (AUV, robotic fish) navigation
Quadruped Robot Navigation and Control
- Blind locomotion using IMU and joint encoders with machine learning techniques
- Exteroception & proprioception sensing based state estimation
- Terrain mapping
- Local & global planning
Related papers
- Yeeun Kim, Byeongho Yu, Eungchang Mason Lee, Joon-ha Kim, Hae-won Park, and Hyun Myung, “STEP: State Estimator for Legged Robots Using a Preintegrated Foot Velocity Factor," IEEE RA-L (Robotics and Automation Letters), vol.7, no.2, pp.4456 – 4463, Apr. 2022. [Link]
- I Made Aswin Nahrendra, Byeongho Yu, and Hyun Myung, “DreamWaQ: Learning Robust Quadrupedal Locomotion With Implicit Terrain Imagination via Deep Reinforcement Learning ," in Proc. IEEE Int’l Conf. on Robotics and Automation (ICRA), pp. 5078-5084, London, UK, May 2023. [Link]
- I Made Aswin Nahrendra, Minho Oh, Byeongho Yu, Hyungtae Lim, and Hyun Myung, “Robust Recovery Motion Control for Quadrupedal Robots via Learned Terrain Imagination," in Proc. Robotics: Science and Systems (RSS 2023) Workshop, Daegu, Korea, Jul. 2023. [Link]
Snapshots
Videos
3D SLAM
3D SLAM (Simultaneous Localization And Mapping)
Basic Concept
- Donghwa Lee, Hyun Myung, “Solution to the SLAM Problem in Low Dynamic Environments Using a Pose Graph and an RGB-D Sensor," Sensors, vol.14, no.7, pp.12467-12496, [Link], July 2014.
- Pose Graph-Based RGB-D SLAM in Low Dynamic Environments (Experiment #1)
- Pose Graph-Based RGB-D SLAM in Low Dynamic Environments (Experiment #2)
Related researches to Kinect Navigation Contest (IROS 2014)
- 3D SLAM for low dynamic environment
- Object recognition
- Optimal path planning and replanning
- Dynamic obstacle avoidance
MAV (quadrotor) Navigation and Control
- Path planning, Path following, Obstacle avoidance
- Marker(April Tag)-based landing on a moving vehicle
- Finalist in DJI developer challenge 2016 [Link]
Magnetic field-based SLAM
DV-SLAM (Dual sensor-based Vector-field SLAM)
Seung-Mok Lee, Jongdae Jung, Shin Kim, In-Joo Kim, and Hyun Myung, “DV-SLAM (Dual-sensor-based Vector-field SLAM) and Observability Analysis," IEEE Trans. Industrial Electronics, vol.62, no.2, pp.1101-1112, [DOI], Feb. 2015.
Underground localization
Byeolteo Park and Hyun Myung, “Underground localization using dual magnetic field sequence measurement and pose graph SLAM for directional drilling," Measurement Science and Technology, vol.25, no.12, 125101 (12pp), [DOI], Oct. 2014.
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Seamless Localization at Indoor/Outdoor for U-Eco City
Seamless localization at Indoor/Outdoor for U-Eco City
Basic Concept
Localization for Users and Robot
- Jongdae Jung and Hyun Myung, “Indoor Localization Using Particle Filter and Map-based NLOS Ranging Model,” in Proc. of ICRA (IEEE Int’l Conference on Robotics and Automation), pp.5185-5190, Shanghai, China, May 2011.