Robotics, Perception and Learning @KTH

Robotics, Perception and Learning @KTH's repositories

The First Dynamic Map Removal Benchmark: open-sourced all the methods and datasets in papers. | Included 8 SOTA methods | Continous updating

Language:Jupyter NotebookBSD-3-Clause263 11 12

Neural Graph Mapping for Dense SLAM with Efficient Loop Closure

Language:PythonMIT124 3 6

[RA-L'24] DUFOMap: Efficient Dynamic Awareness Mapping

Language:C++BSD-3-Clause123 1 9

[ICRA'24] DeFlow: Decoder of Scene Flow Network in Autonomous Driving

Language:PythonBSD-3-Clause90 4 4

[ECCV'24] SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving

Language:PythonBSD-3-Clause37 40

[ITSC'23] Implementation of "RMP: A Random Mask Pretrain Framework for Motion Prediction"

[WAVC'24 Workshop] Human-Centric Autonomous Systems With LLMs for User Command Reasoning

Language:Python11 30

[IV'24] Hard Cases Detection in Motion Prediction by Vision-Language Foundation Models

The manual book for rpl kobuki robot. There are tutorials setup also, upgrade to Ubuntu 20.04

Language:C++3 10

module timer python package with header-only timer in C++.

Language:C++BSD-3-Clause010

Dataset of Human Human Handovers

MIT000

WASP Autonomous Systems Course

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