Leading the perception stack for a robot that crosses between water and land, where the sensor domain shifts abruptly at the shoreline. Targets: 5 object classes at 65% detection and 90% recognition rate.
Leading the design and collection of a labelled manipulation dataset — trajectories, contacts and object states — for learning-based robot manipulation.
Learning a tactile representation that lets a multi-fingered hand grasp and reorient unseen, irregular objects without a prior CAD model. Targets: 85% peg-in-hole success over 5 object types, 90% object recognition.
Real-time registration of observed RGB-D parts against reference CAD models, driving an AR overlay for on-line industrial part identification and pose estimation.
RGB-IR-LiDAR sensor-fusion object detection from drone views, plus construction of the multi-modal database behind it. Targets: ≥0.85 mAP@0.5 on targets as small as 30×30 px, holding ≥0.65 mAP under image degradation.
On-device segmentation of hair and dust for a domestic robot vacuum, constrained to ≤5M parameters — ≥85% pixel accuracy at ≤10% false-positive rate, trained on a purpose-built 10K-image dataset.
Led a two-step continual test-time adaptation method that keeps a mobile robot’s perception working as the input distribution drifts with the weather — 14% mean corruption error on CIFAR-10-C.
Maritime object detection and situational awareness feeding the navigation stack of a swarm of unmanned surface vehicles.
A ceiling segmentation model and dataset for robust floor-plan generation under heavy occlusion, at 85% layout pixel accuracy — the work behind SMRNet.
Closing the simulation-to-reality gap so that policies trained in simulation transfer to a real collaborative assembly cell.
Deep-learning detection and type classification of corona discharge for automated cable safety inspection — later published at IAS 2023 and awarded the MOTIE Minister’s Award.
Object detection inside low-light underground power tunnels, made robust at the feature level via patch-level cycle consistency rather than by enhancing the image — light enough to run on-board a robot with no comms. Built the cart-mounted multi-camera capture rig and authored the contract report.
Published in 대한전기학회 제53회 하계학술대회 (2022), 2022
Authors: 맹제모, 허윤재, 이규빈
Published in The 18th International Conference on Intelligent Autonomous Systems (IAS 2023), 2023
Authors: Jemo Maeng, Yunjae Heo, and Kyoobin Lee
Published in The 20th International Conference on Ubiquitous Robots (UR 2023), Work-in-Progress, 2023
Authors: Jemo Maeng, S. Lee, Seunghyeok Back, and Kyoobin Lee
Published in 제18회 한국로봇종합학술대회 (KRoC 2023), 2023
Authors: 맹제모, 노상준, 백승혁, 이규빈
Published in 2024 한국항공우주학회 추계학술대회, 2024
Authors: 맹제모, 이성주, 이규빈
Published in 2025 IEEE International Conference on Robotics and Automation (ICRA 2025), 2025
Authors: Seunghyeok Back, Sangbeom Lee, Kangmin Kim, Joosoon Lee, Sungho Shin, Jemo Maeng, and Kyoobin Lee
Published in 2025 한국항공우주학회 추계학술대회, 2025
Authors: 맹제모, 박상민, 이성주, 이규빈
Published in 2025 ICROS-KROS 호남·제주 그랜드 합동 학술대회, 2025
Authors: 천민경, 이성주, 맹제모, 이규빈
Published in 제21회 한국로봇종합학술대회 (KRoC 2026), 2026
Authors: 박상민, 맹제모, 이상범, 이규빈