Markus Ryll

Markus Ryll

Massachusetts Institute of Technology

H-index: 18

North America-United States

About Markus Ryll

Markus Ryll, With an exceptional h-index of 18 and a recent h-index of 18 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Robotics, Unmanned aerial vehicles, Control, Micro Aerial Vehicle.

His recent articles reflect a diverse array of research interests and contributions to the field:

Dual Quaternion Control of UAVs with Cable-suspended Load

Scene-Graph ViT: End-to-End Open-Vocabulary Visual Relationship Detection

Geometric Slosh-Free Tracking for Robotic Manipulators

Pose-Following with Dual Quaternions

Learning for CasADi: Data-driven Models in Numerical Optimization

SCTOMP: Spatially Constrained Time-Optimal Motion Planning

Robots that can see: Leveraging human pose for trajectory prediction

The ODQuad: Design and Experimental Validation of a Novel Fully-actuated Quadrotor

Markus Ryll Information

University

Position

PostDoc, MIT, CSAIL

Citations(all)

2540

Citations(since 2020)

1678

Cited By

1521

hIndex(all)

18

hIndex(since 2020)

18

i10Index(all)

21

i10Index(since 2020)

21

Email

University Profile Page

Google Scholar

Markus Ryll Skills & Research Interests

Robotics

Unmanned aerial vehicles

Control

Micro Aerial Vehicle

Top articles of Markus Ryll

Dual Quaternion Control of UAVs with Cable-suspended Load

arXiv preprint arXiv:2404.07635

2024/4/11

Markus Ryll
Markus Ryll

H-Index: 16

Scene-Graph ViT: End-to-End Open-Vocabulary Visual Relationship Detection

arXiv preprint arXiv:2403.14270

2024/3/21

Markus Ryll
Markus Ryll

H-Index: 16

Geometric Slosh-Free Tracking for Robotic Manipulators

arXiv preprint arXiv:2402.05197

2024/2/7

Sami Haddadin
Sami Haddadin

H-Index: 35

Markus Ryll
Markus Ryll

H-Index: 16

Pose-Following with Dual Quaternions

2023/12/13

Markus Ryll
Markus Ryll

H-Index: 16

Learning for CasADi: Data-driven Models in Numerical Optimization

arXiv preprint arXiv:2312.05873

2023/12/10

Marco Pavone
Marco Pavone

H-Index: 38

Markus Ryll
Markus Ryll

H-Index: 16

SCTOMP: Spatially Constrained Time-Optimal Motion Planning

2023/10/1

Markus Ryll
Markus Ryll

H-Index: 16

Robots that can see: Leveraging human pose for trajectory prediction

IEEE Robotics and Automation Letters

2023/9/5

Markus Ryll
Markus Ryll

H-Index: 16

Dorsa Sadigh
Dorsa Sadigh

H-Index: 23

The ODQuad: Design and Experimental Validation of a Novel Fully-actuated Quadrotor

2023/6/6

NAPVIG: Local Generalized Voronoi Approximation for Reactive Navigation in Unknown and Dynamic Environments

2023/5/31

Real-time neural MPC: Deep learning model predictive control for quadrotors and agile robotic platforms

IEEE Robotics and Automation Letters

2023/2/20

Spatial motion planning with pythagorean hodograph curves

2022/12/6

Markus Ryll
Markus Ryll

H-Index: 16

Towards time-optimal tunnel-following for quadrotors

2022/5/23

Markus Ryll
Markus Ryll

H-Index: 16

Visual Navigation for Autonomous Vehicles: An Open-source Hands-on Robotics Course at MIT

2022/3/26

SMORS: A soft multirotor UAV for multimodal locomotion and robust interaction

2022

Markus Ryll
Markus Ryll

H-Index: 16

Motron: Multimodal probabilistic human motion forecasting

2022

Marco Pavone
Marco Pavone

H-Index: 38

Markus Ryll
Markus Ryll

H-Index: 16

A caster-wheel-aware MPC-based motion planner for mobile robotics

2021/12/6

Markus Ryll
Markus Ryll

H-Index: 16

Fast-hex—a morphing hexarotor: design, mechanical implementation, control and experimental validation

IEEE/ASME transactions on mechatronics

2021/7/26

Semantic Trajectory Planning for Long-Distant Unmanned Aerial Vehicle Navigation in Urban Environments

2020/10/24

See List of Professors in Markus Ryll University(Massachusetts Institute of Technology)

Co-Authors

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