Search Results for author: Wolfgang Hönig

Found 8 papers, 3 papers with code

Kidnapping Deep Learning-based Multirotors using Optimized Flying Adversarial Patches

1 code implementation1 Aug 2023 Pia Hanfeld, Khaled Wahba, Marina M. -C. Höhne, Michael Bussmann, Wolfgang Hönig

We introduce flying adversarial patches, where multiple images are mounted on at least one other flying robot and therefore can be placed anywhere in the field of view of a victim multirotor.

Pose Estimation Real-World Adversarial Attack +1

Flying Adversarial Patches: Manipulating the Behavior of Deep Learning-based Autonomous Multirotors

1 code implementation22 May 2023 Pia Hanfeld, Marina M. -C. Höhne, Michael Bussmann, Wolfgang Hönig

We introduce flying adversarial patches, where an image is mounted on another flying robot and therefore can be placed anywhere in the field of view of a victim multirotor.

Position

Neural-Swarm2: Planning and Control of Heterogeneous Multirotor Swarms using Learned Interactions

no code implementations10 Dec 2020 Guanya Shi, Wolfgang Hönig, Xichen Shi, Yisong Yue, Soon-Jo Chung

We present Neural-Swarm2, a learning-based method for motion planning and control that allows heterogeneous multirotors in a swarm to safely fly in close proximity.

Motion Planning

Sim-to-(Multi)-Real: Transfer of Low-Level Robust Control Policies to Multiple Quadrotors

2 code implementations11 Mar 2019 Artem Molchanov, Tao Chen, Wolfgang Hönig, James A. Preiss, Nora Ayanian, Gaurav S. Sukhatme

Quadrotor stabilizing controllers often require careful, model-specific tuning for safe operation.

Robotics

Lifelong Path Planning with Kinematic Constraints for Multi-Agent Pickup and Delivery

no code implementations15 Dec 2018 Hang Ma, Wolfgang Hönig, T. K. Satish Kumar, Nora Ayanian, Sven Koenig

For example, we demonstrate that it can compute paths for hundreds of agents and thousands of tasks in seconds and is more efficient and effective than existing MAPD algorithms that use a post-processing step to adapt their paths to continuous agent movements with given velocities.

Overview: A Hierarchical Framework for Plan Generation and Execution in Multi-Robot Systems

no code implementations30 Mar 2018 Hang Ma, Wolfgang Hönig, Liron Cohen, Tansel Uras, Hong Xu, T. K. Satish Kumar, Nora Ayanian, Sven Koenig

In the plan-generation phase, the framework provides a computationally scalable method for generating plans that achieve high-level tasks for groups of robots and take some of their kinematic constraints into account.

Path Planning with Kinematic Constraints for Robot Groups

no code implementations25 Apr 2017 Wolfgang Hönig, T. K. Satish Kumar, Liron Cohen, Hang Ma, Sven Koenig, Nora Ayanian

Path planning for multiple robots is well studied in the AI and robotics communities.

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