45:59

Control-06: Model Predictive Control (M. Sondano)

50:58

Control-05: Digital Control Systems (M. Sodano)

55:41

Control-04: PID Control (M. Sodano)

01:08:48

Control-03: Wheeled Mobile Robots: Kinematic Structures and Models + Control Problems (M. Sodano)

01:00:31

Control-02: Basics of Control Theory (M. Sodano)

49:15

Control-01: Basics of Theory of Dynamic Systems (M. Sodano)

02:35

DynamoBot - a PhenoRob Startup

01:49

UAV-based Spot Spraying Against Plant Diseases (PhenoRob Demonstrator)

02:41

Digital Agricultural Avatar (PhenoRob Demonstrator)

02:07

Bee Demonstrator - Detect and Identify Pollinators in the Field (PhenoRob Demonstrator)

02:36

Automated Leaf-Level Inspection of Crops by Combining UAV and UGVs (PhenoRob Demonstrator)

03:20

Technology Adoption and Impact (PhenoRob CP6)

02:45

New Field Arrangements (PhenoRob CP5)

02:18

Autonomous In-Field Intervention (PhenoRob CP4)

02:09

The Soil-Root Zone (PhenoRob CP3)

02:24

Pheno-Inspect - a PhenoRob Startup

03:36

Relevance Detection of Crop Features (PhenoRob CP2)

02:46

In-Field 4D Crop Reconstruction (PhenoRob CP1)

01:32:26

Introduction to Reinforcement Learning (Julius Rückin)

24:38

Talk by C. Stachniss on How to Write Good Papers (IROS2024 Young Professionals Invited Talk)

10:47

Talk by L. Lobefaro: Spatio-Temporal Consistent Mapping of Growing Plants for Agricultural Robots...

02:16

Trailer: Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion (CVPR'24)

04:37

Talk by X. Zhong: 3D LiDAR Mapping in Dynamic Environments using a 4D Implicit Neural Rep. (CVPR'24)

04:48

Talk by L. Nunes: Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion (CVPR'24)

04:57

Talk by M. Sodano: Open-World Semantic Segmentation Including Class Similarity (CVPR'24)

06:46

Talk by D. Casado Herraez: Radar-Only Odometry and Mapping for Autonomous Vehicles (ICRA'2024)

02:03

Trailer: High Precision Leaf Instance Segmentation in Point Clouds Obtained Under Real Field...

06:04

Talk by E. Marks: High Precision Leaf Instance Segmentation in Point Clouds Obtained Under Real...

02:11

Trailer: Effectively Detecting Loop Closures using Point Cloud Density Maps

06:31

Talk by S. Gupta: Effectively Detecting Loop Closures using Point Cloud Density Maps (ICRA'2024)

01:37

Trailer: LocNDF: Neural Distance Field Mapping for Robot Localization (RAL'24)

05:43

Talk by L. Wiesmann: , “LocNDF: Neural Distance Field Mapping for Robot Localization (RAL-ICAR'24)

01:54

Trailer: Unsupervised Pre-Training for 3D Leaf Instance Segmentation (RAL'2023)

06:13

Talk by G. Roggiolani: Unsupervised Pre-Training for 3D Leaf Instance Segmentation (RAL-ICRA'24)

02:25

Trailer: Tree Instance Segmentation and Traits Estimation for Forestry Environments... (ICRA'24)

05:54

Talk by M. Malladi: Tree Instance Segmentation and Traits Estimation for Forestry Environments...

06:51

Talk by L. Chong: Unsupervised Generation of Labeled Training Images for Crop-Weed Segmentation...

01:31

Trailer: Unsupervised Generation of Labeled Training Images for Crop-Weed Segmentation in New ...

06:57

Talk by F. Magistri: Efficient and Accurate Transformer-Based 3D Shape Completion and Reconstruction

01:51

Trailer: Efficient and Accurate Transformer-Based 3D Shape Completion and Reconstruction of Fruits..

01:27

Trailer: Mask4D: End-to-End Mask-Based 4D Panoptic Segmentation for LiDAR Sequences (RAL'23/ICRA'24)

01:32

Trailer: Mask-Based Panoptic LiDAR Segmentation for Autonomous Driving (RAL'23/IROS'23)

06:58

Talk by R. Marcuzzi: Mask4D: End-to-End Mask-Based 4D Panoptic Segmentation for LiDAR Data (ICRA'24)

06:26

Talk by M. Zeller: Radar Tracker: Moving Instance Tracking in Sparse and Noisy Radar Data (ICRA'24)

02:31

Trailer: Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based MOS (RAL'23)

06:53

Talk by B. Mersch: Building Volumetric Beliefs for Dynamic Environments Exploiting MOS (RAL'23)

01:51

Trailer: Generalizable Stable Points Segmentation for 3D LiDAR Long-Term Localization (RAL'24)

06:34

Talk by M. Zeller: Radar Instance Transformer: Reliable Moving Instance Segmentation 4 Radar (T-RO)

01:00:38

Self-Driving Cars: Radar Perception (Matthias Zeller)

04:58

Talk by R. Marcuzzi: Mask-Based Panoptic LiDAR Segmentation for Autonomous Driving (RAL'23)

04:50

Talk by Y. Pan: Panoptic Mapping with Fruit Completion and Pose Estimation ... (IROS'23)

04:27

Talk by L. Lobefaro: Estimating 4D Data Associations Towards Spatial-Temporal Mapping ... (IROS'23)

05:23

Talk by I. Vizzo: KISS-ICP: In Defense of Point-to-Point ICP (RAL-IROS'23)

04:47

Talk by M. Zeller: Gaussian Radar Transformer for Semantic Segmentation in Noisy Radar Data (RAL)

05:00

Talk by Sodano & Zimmerman: Constructing Metric-Semantic Maps using Floor Plan Priors... (IROS'23)

43:08

Self-Driving Cars: Unsupervised Learning for Vehicles Perception (Lucas Nunes)

03:36

Markov Decision Process (MDP) - 5 Minutes with Cyrill

04:18

Singular Value Decomposition - 5 Minutes with Cyrill

07:39

Talk by L. Nunes: Temporal Consistent 3D Representation Learning for Semantic Perception.. (CVPR'23)

04:43

Talk by G. Roggiolani & M. Sodano: Hierarchical Approach for Joint Semantic, Plant Inst... (ICRA'23)