Trajectory Planning and Control of a Quadrotor Choreography for Real-Time Artist-in-the-Loop Performances

被引:7
作者
El-Jiz, Michael [1 ]
Rodrigues, Luis [1 ]
机构
[1] Concordia Univ, Dept Elect & Comp Engn, 1515 St Catherine St,EV5-139, Montreal, PQ, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Quadrotor choreography; trajectory planning; real-time control; artist-in-the-loop;
D O I
10.1142/S2301385018500012
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper proposes a systematic methodology for the guidance, control, and navigation of a quadrotor to perform a choreographed dance in real-time as a function of, and interacting with, the music performed by an artist-in-the-loop. This methodology allows for a real-time interaction with improvized music by an artist based on the pitch of the acoustic signal being played without prior knowledge of the music. The four main components of a human choreography (namely, the notions of space, shape, time and structure) are analyzed and mathematically formulated for a robotic performance. A new approach for mapping music features to trajectory parameters is proposed, as well as the design of a trajectory shaping filter based on two coefficients that are set in real-time by an artist through a MIDI foot-pedal board. The proposed approach maps motion parameters and the music to trajectory motifs that are then switched in harmony with the chord structure. The overall system is validated in a hardware-in-the-loop simulation where the hardware will consist of the musical instrument and the foot pedals. In the simulation, the trajectory generator system is inverted to generate a sequence of music pitches from the actual trajectory of the quadrotor. The music generated by the quadrotor is then played back to the musician allowing for real-time interaction. The simulation results show that the proposed methodology yields an effective performance for a quadrotor choreography based on the real-time interaction with a musician. The proposed system was successfully used by an artist as can be seen in a video link to the work described in this paper and listed in the conclusions.
引用
收藏
页码:1 / 13
页数:13
相关论文
共 50 条
  • [21] Real-Time Optimal Trajectory Planning for Precision Tracking Systems with Dynamic Constraints
    Lovlin, Sergey
    Abdullin, Artur
    Tsvetkova, Madina
    Mamatov, Aleksandr
    2019 26TH INTERNATIONAL WORKSHOP ON ELECTRIC DRIVES: IMPROVEMENT IN EFFICIENCY OF ELECTRIC DRIVES (IWED) PROCEEDINGS, 2019,
  • [22] Safe, Optimal, Real-Time Trajectory Planning With a Parallel Constrained Bernstein Algorithm
    Kousik, Shreyas
    Zhang, Bohao
    Zhao, Pengcheng
    Vasudevan, Ram
    IEEE TRANSACTIONS ON ROBOTICS, 2021, 37 (03) : 815 - 830
  • [23] Trajectory planning and control for micro-quadrotor perching on vertical surface
    Sun Y.
    Chang M.
    Bai J.
    Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica, 2022, 43 (09):
  • [24] Trajectory Planning of Quadrotor UAV with Suspended Payload Based on Predictive Control
    Sun, Binghan
    Hu, Chaofang
    Cao, Lei
    Wang, Na
    Zhou, Yimin
    2018 37TH CHINESE CONTROL CONFERENCE (CCC), 2018, : 10049 - 10054
  • [25] Real-Time Trajectory Planning for UAVs Perching on the Time-Varying Attitude Moving Platform
    Dong, Xin
    Tu, Zhan
    Li, Daochun
    Xiang, Jinwu
    2024 5TH INTERNATIONAL CONFERENCE ON MECHATRONICS TECHNOLOGY AND INTELLIGENT MANUFACTURING, ICMTIM 2024, 2024, : 516 - 519
  • [26] Real-time trajectory tracking control of a parallel robot with flexible links
    Morlock, Merlin
    Meyer, Niklas
    Pick, Marc-Andre
    Seifried, Robert
    MECHANISM AND MACHINE THEORY, 2021, 158
  • [27] Smart Autodriver Algorithm for Real-Time Autonomous Vehicle Trajectory Control
    Milani, Sina
    Khayyam, Hamid
    Marzbani, Hormoz
    Melek, William
    Azad, Nasser L.
    Jazar, Reza N.
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (03) : 1984 - 1995
  • [28] Real-time time-optimal continuous multi-axis trajectory planning using the trajectory index coordination method
    He, Suqin
    Hu, Chuxiong
    Lin, Shize
    Zhu, Yu
    Tomizuka, Masayoshi
    ISA TRANSACTIONS, 2022, 131 : 639 - 649
  • [29] Real-time task-oriented continuous digging trajectory planning for excavator arms
    Yao, Zongwei
    Zhao, Shichao
    Tan, Xiaodan
    Wei, Wen
    Wang, Yong
    AUTOMATION IN CONSTRUCTION, 2023, 152
  • [30] Heuristic Approach for Real-Time Multi-Agent Trajectory Planning Under Uncertainty
    Tahir, Haseeb
    Syed, Mujahid N.
    Baroudi, Uthman
    IEEE ACCESS, 2020, 8 : 3812 - 3826