Reliable Robot Control Lab
Reliable Robot Control Lab
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Embedded Hierarchical MPC for Autonomous Navigation
This video accompanies the paper "Embedded Hierarchical MPC for Autonomous Navigation" by D. Benders, J. Köhler, T. Niesten, R. Babuška, J. Alonso-Mora and L. Ferranti.
D. Benders, T. Niesten, R. Babuška, J. Alonso-Mora and L. Ferranti are with the department of Cognitive Robotics, Delft University of Technology, 2628 CD Delft, The Netherlands.
J. Köhler is with the institute for Dynamic Systems and Control, ETH Zürich, CH-8092, Switzerland.
This work received support from the National Police of the Netherlands, the Dutch Science Foundation NOW-TTW, within the Veni project HARMONIA (nr. 18165), and the Swiss National Science Foundation under NCCR Automation (grant agreement 51NF40 180545).
#robotics #motionplanning #control #safety #tudelft #r2clab #amrlab
มุมมอง: 99

วีดีโอ

Vehicle Platooning and Cooperative Adaptive Cruise Control Lecture
มุมมอง 12828 วันที่ผ่านมา
This guest lecture was part of the course "Security and Privacy in Control" from the faculty of Mechanical Engineering at Technical University Delft. We discuss the topic of Vehicle platooning and Cooperative Adaptive Cruise Control. The lecture starts from the basics of Adaptive Cruise Control (ACC) and then moves on to show the advantages of adding communication (Cooperative ACC). We then sho...
Lidar-based lane following
มุมมอง 5028 วันที่ผ่านมา
This video shows an example of navigation using the on-board perception and lane-following controller of our research platform driving autonomously in the corridors of our faculty. The authors are Lorenzo Lyons and Laura Ferranti, from the Reliable Robot Control Lab, Department of Cognitive Robotics, Delft University of Technology. This research is supported by the NWO-TTW Veni project HARMONIA...
Sim2Real Reinforcement Learning: Quadrotor Landing with EAGERx
มุมมอง 365หลายเดือนก่อน
This video presents the quadrotor landing experiment for the paper "EAGERx: Graph-Based Framework for Sim2real Robot Learning" by Bas van der Heijden∗, Jelle Luijkx∗, Laura Ferranti, Jens Kober, and Robert Babuska (*equal contribution). If you want to use EAGERx check: github.com/eager-dev/eagerx Extensive documentation is available at eagerx.readthedocs.io/en/master/index.html This work is fun...
EAGERx: Graph-Based Framework for Sim2real Robot Learning
มุมมอง 487หลายเดือนก่อน
This video presents "EAGERx: Graph-Based Framework for Sim2real Robot Learning" by Bas van der Heijden∗, Jelle Luijkx∗, Laura Ferranti, Jens Kober, and Robert Babuska (*equal contribution). If you want to use EAGERx check: github.com/eager-dev/eagerx Extensive documentation is available at eagerx.readthedocs.io/en/master/index.html This work is funded by the EU’s H2020 OpenDR project (grant No ...
Efficient Parallelized Simulation of Cyber-Physical Systems (TMLR 2024)
มุมมอง 77หลายเดือนก่อน
Supplementary video for the paper: Bas van der Heijden, Laura Ferranti, Jens Kober, Robert Babuska. "Efficient Parallelized Simulation of Cyber-Physical Systems". Transactions on Machine Learning Research, 2024.
ICRA 2024 Video: Probabilistic Prediction and Planning via Partitioned Scenario Replay
มุมมอง 1682 หลายเดือนก่อน
This video accompanies the paper "Probabilistic Prediction and Planning via Partitioned Scenario Replay" by O. de Groot, J. Alonso-Mora and L. Ferranti. The authors are with the Dept. of Cognitive Robotics, TU Delft, 2628 CD Delft, The Netherlands. This work received support from the Dutch Science Foundation NWO-TTW, within the Veni project HARMONIA (18165).
Contingency Games for Multi-Agent Interaction (RA-L 2024)
มุมมอง 694 หลายเดือนก่อน
Supplementary video for the paper: Lasse Peters, Andrea Bajcsy, Chih-Yuan Chiu, David Fridovich-Keil, Forrest Laine, Laura Ferranti, Javier Alonso-Mora. "Contingency Games for Multi-Agent Interaction". IEEE Robotics and Automation Letters, 2024. Project website: lasse-peters.net/pub/contingency-games
OpenDR: Agile Production Demonstration by Delft University of Technology
มุมมอง 415 หลายเดือนก่อน
Demonstration of the work performed for the Agile Production Use Case within the EU project "OpenDR" by TUD (Delft University of Technology). All the tools used for this demo are integrated within the OpenDR toolkit: github.com/opendr-eu/opendr Authors: B. van der Heijden, J. Luijkx, L. Ferranti, J. Kober, and R. Babuska. This work is funded by the EU’s H2020 OpenDR project (grant No 871449).
Rule-Based Lloyd Algorithm for Multi-Robot Motion Planning and Control
มุมมอง 1327 หลายเดือนก่อน
This video accompanies the paper entitled "Rule-Based Lloyd Algorithm for Multi-Robot Motion Planning and Control with Safety and Convergence Guarantees" by M. Boldrer, A. Serra-Gomez, L. Lyons, J. Alonso-Mora, and L. Ferranti. The authors are with the Cognitive Robotics Department, Delft University of Technology. This research is supported by the NWO-TTW Veni project HARMONIA (no. 18165). The ...
ICRA 2023 Talk: Curvature-Aware Model Predictive Contouring Control
มุมมอง 346ปีที่แล้ว
Talk associated with the paper "Curvature-Aware Model Predictive Contouring Control", that has been accepted for publication in the Proceedings of the 2023 IEEE International Conference on Robotics and Automation (ICRA). The authors are Lorenzo Lyons and Laura Ferranti, from the Reliable Robot Control Lab, Department of Cognitive Robotics, Delft University of Technology. This research is suppor...
ICRA 2023 Talk: Multi-Robot Persistent Monitoring and Target Detection
มุมมอง 139ปีที่แล้ว
This video presents the ICRA 2023 talk associated with the paper entitled "Time-inverted Kuramoto Model Meets Lissajous Curves: Multi-Robot Persistent Monitoring and Target Detection" by M. Boldrer, L. Lyons, L. Palopoli, D. Fontanelli, and L. Ferranti, 2022. The paper has been accepted for publication in the IEEE Robotics and Automation Letters. This research is supported by the NWO-TTW Veni p...
ICRA 2023 Talk: Globally Guided Trajectory Planning in Dynamic Environments
มุมมอง 124ปีที่แล้ว
ICRA 2023 presentation of the paper entitled "Globally Guided Trajectory Planning in Dynamic Environments" by O.de Groot, L. Ferranti, D. M. Gavrila, J. Alonso-Mora. The authors are with the Faculty of Mechanical, Maritime, and Material Engineering at Delft University of Technology. This work received support from the Dutch Science Foundation NWO-TTW, within the SafeVRU project (nr. 14667) and ...
Globally Guided Trajectory Planning in Dynamic Environments
มุมมอง 248ปีที่แล้ว
This video accompanies the ICRA 2023 paper entitled "Globally Guided Trajectory Planning in Dynamic Environments" by O.de Groot, L. Ferranti, D. M. Gavrila, J. Alonso-Mora. The authors are with the Faculty of Mechanical, Maritime, and Material Engineering at Delft University of Technology. This work received support from the Dutch Science Foundation NWO-TTW, within the SafeVRU project (nr. 1466...
Curvature-Aware Model Predictive Contouring Control
มุมมอง 604ปีที่แล้ว
This video is the attachment for the paper "Curvature-Aware Model Predictive Contouring Control", that has been accepted for publication in the Proceedings of the 2023 IEEE International Conference on Robotics and Automation (ICRA). We present a novel Curvature-Aware Model Predictive Contouring Control (CA-MPCC) formulation for mobile robotics motion planning. We show our method in both simulat...
PARTNR: Pick and place Ambiguity Resolving by Trustworthy iNteractive leaRning
มุมมอง 155ปีที่แล้ว
PARTNR: Pick and place Ambiguity Resolving by Trustworthy iNteractive leaRning
Multi-Robot Persistent Monitoring and Target Detection
มุมมอง 120ปีที่แล้ว
Multi-Robot Persistent Monitoring and Target Detection
Outdoor Vehicle Platooning
มุมมอง 203ปีที่แล้ว
Outdoor Vehicle Platooning
Distributed Nonlinear Trajectory Optimization for Multi-robot Motion Planning
มุมมอง 132ปีที่แล้ว
Distributed Nonlinear Trajectory Optimization for Multi-robot Motion Planning
DeepKoCo: Efficient latent planning with a task-relevant Koopman representation
มุมมอง 36ปีที่แล้ว
DeepKoCo: Efficient latent planning with a task-relevant Koopman representation
COLREGs-aware Trajectory Optimization for Autonomous Surface Vessels
มุมมอง 133ปีที่แล้ว
COLREGs-aware Trajectory Optimization for Autonomous Surface Vessels

ความคิดเห็น

  • @michaelc2281
    @michaelc2281 3 วันที่ผ่านมา

    Hi there, thanks for putting the lecture online, I was wondering about string stability of platonning. When considering this you always have a time-delay in the information shared. With this delay can be implemented in the transfer function: T = 1/H*(D + G*K)/(1+G*K) (String Stability Complementary Sensitivity) But how does this transfer function change when you have a platoon with differenc vehicles? Or doesn't it?

    • @LorenzoLyons-pe1wz
      @LorenzoLyons-pe1wz 2 วันที่ผ่านมา

      Hello, yes indeed delays are always an issue with any real robotics system. One Idea (more popular with a control community approach) would be to include the delay as you have mentioned in the transfer function x_(i+1)(s)/x_i(s) and ensure that string stability holds . The entity of this delay would need to be measured in the field. In practice delays are never constant and usually not even gaussianly distributed since they may build up when the communication network is more heavily used or some other event-based circumstance. So the idea is to ensure string stability assuming for a "worst case" fixed delay. Another strategy (coming from a robotics perspective) is to include some delay compensation feature, such as reconstructing the actual vehicle state, like the position, based on forward propagating the received state accounting for the communication delay. Something like real_position_now = position_communicated + Velocity*time_delay. Here the time delay could be actually measured in real time by comparing the time stamps of the various messages.

  • @svrt5832
    @svrt5832 2 หลายเดือนก่อน

    Awesome! Is the code published on github? If yes, please share the link

  • @tastsolakis1519
    @tastsolakis1519 2 หลายเดือนก่อน

    great work!

  • @tastsolakis1519
    @tastsolakis1519 10 หลายเดือนก่อน

    Great work!

  • @GustavoRezendeSilva
    @GustavoRezendeSilva ปีที่แล้ว

    Very interesting work!

  • @hoeunsu3
    @hoeunsu3 ปีที่แล้ว

    Thank you for the good research. The concept of "Optimization-Based Hierarchical Motion Planning for Autonomous Racing" looks similar to this study. Is it simply changing the optimization formula to curvature in the existing MPCC?

  • @zmx-yy1vu
    @zmx-yy1vu ปีที่แล้ว

    your work is really great.where can i find the open-source code, i want to learn from it.