-
KAIST
- Daejeon, South Korea
- http://engcang.github.io
- channel/UC1Bui82br7_gmlaVRcCERcQ
Highlights
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Lists (26)
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AI
calibration
dataset
Detection / Segmentation
Drone stuff
Dynamic removal
exploration/ActiveSLAM/OIPP
exploration/ActiveSLAM/OIPP/reconground robot navigation
High level intent understanding
LLM
Map postprocessing
mapping framework
mapping lib
Multi robot
Multi SLAM
Path planning / control
Radar
Reconstruction
RGB mapping (LiDAR-Camera)
Scene completion
Scene graph
simulation
SLAM
Tools
Tracking
VSLAM
Stars
C++ implementation of On-Manifold MPC (TIE '23, SR '25)
A feed-forward 3D foundation model for reconstructing scenes from streaming data
debauchee / barrier
Forked from deskflow/deskflowOpen-source KVM software
Official implementation of "FAR-RIO: A Fast and Robust Radar-Inertial Odometry with Isotropic Uncertainty Model and Dual-Observation Update Pipeline."
Factor graph-based radar-inertial odometry with online spatio-temporal calibration.
Modern robot motion planning library based on Pinocchio.
국가법령정보MCP | 법제처 41개 API → 16개 MCP 도구. 법령·판례·조례·조약을 AI로 검색·조회·분석 + LLM 환각 방지 인용 검증 | 41 Korean legal APIs → 16 MCP tools with AI citation hallucination guard
A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎,预测万物
SANDO: Safe Autonomous Trajectory Planning for Dynamic Unknown Environments
A tightly-coupled radar-visual-inertial odometry, to enable robust performance in challenging environments.
Paper quality bar/box plot using `statannotations`
Repo for HKUST ELEC5660 Course Notes & Lab Tutorial & Project Docker
A Flexible and Contiguous Decentralized Multi-UAV Exploration Framework
Claude Code-driven research paper proofreading prompt
Curriculum Reinforcement Learning for Quadrotor Racing with Random Obstacles (ICRA2026)
Official implementation of "Event-Aided Sharp Radiance Field Reconstruction for Fast-Flying Drones"
Official page for MSA (Minimal Subset Approach for Informed Keyframe Sampling), accepted @ RA-L'25, to be presented @ ICRA'26
This repository provides the source code for the paper Reinforcement Learning for Active Perception in Autonomous Navigation.
Trajectory searching and optimization in uneven terrain. For RAL.
[IEEE T-RO 2025] iKalibr: Multi-Sensor Calibration (Extrinsics & Time Offsets)
BoxMOT: Pluggable SOTA multi-object tracking modules with support for axis-aligned and oriented bounding boxes
[RA-L 26] Learning on the Fly: Rapid Policy Adaptation via Differentiable Simulation
Physics-aware LiDAR degradation framework for SLAM robustness on real sensor data (Livox Avia/Mid-360 & Ouster)
Multi-Modal LiDAR Dataset (Avia, Mid-360, Ouster) with Indoor MoCap and Outdoor GNSS-RTK ground truth