Fetching the paper…
Reading the bibliography…
Unmanned aerial vehicles (UAVs), specifically quadrotors, have revolutionized various industries with their maneuverability and versatility, but their safe operation in dynamic environments heavily relies on effective collision avoidance techniques.
1903
Earlier work this paper cites.
P. Fiorini and Z. Shiller, “Motion planning in dynamic environments using the relative velocity paradigm,” in IEEE International Conference on Robotics and Automation , 1993, pp. 560–565 vol.1
1993
Earlier work this paper cites.
——, “Motion planning in dynamic environments using velocity obstacles,” The International Journal of Robotics Research , vol. 17, no. 7, pp. 760–772, 1998. [Online]. Available: https://doi.org/10.1177/027836499801700706
1998
Earlier work this paper cites.
A. Chakravarthy and D. Ghose, “Obstacle avoidance in a dynamic environment: a collision cone approach,” IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans , vol. 28, no. 5, pp. 562–574, 1998
1998
Earlier work this paper cites.
A. D. Ames, J. W. Grizzle, and P. Tabuada, “Control barrier function based quadratic programs with application to adaptive cruise control,” in 53rd IEEE Conference on Decision and Control , 2014
2014
Earlier work this paper cites.
V. Kumar, “The future of flying robots,” TED Talk , 2015
2015
Earlier work this paper cites.
Y. Lin and S. Saripalli, “Collision avoidance for uavs using reachable sets,” in 2015 International Conference on Unmanned Aircraft Systems (ICUAS) , 2015, pp. 226–235
2015
Earlier work this paper cites.
A. D. Ames, X. Xu, J. W. Grizzle, and P. Tabuada, “Control barrier function based quadratic programs for safety critical systems,” IEEE Transactions on Automatic Control , vol. 62, no. 8, pp. 3861–3876, aug 2017. [Online]. Available: https://doi.org/10.1109%2Ftac.2016.2638961
2016
Earlier work this paper cites.
G. Wu and K. Sreenath, “Safety-critical control of a planar quadrotor,” in 2016 American Control Conference (ACC) , 2016, pp. 2252–2258
2016
Cited alongside, same era.
J. Sun, J. Tang, and S. Lao, “Collision avoidance for cooperative uavs with optimized artificial potential field algorithm,” IEEE Access , vol. 5, pp. 18 382–18 390, 2017
2017
Cited alongside, same era.
S. Bansal, M. Chen, S. Herbert, and C. J. Tomlin, “Hamilton-jacobi reachability: A brief overview and recent advances,” in 2017 IEEE 56th Annual Conference on Decision and Control (CDC) , 2017
2017
Cited alongside, same era.
M. Castillo-Lopez, S. A. Sajadi-Alamdari, J. L. Sanchez-Lopez, M. A. Olivares-Mendez, and H. Voos, “Model predictive control for aerial collision avoidance in dynamic environments,” in 2018 26th Mediterranean Conference on Control and Automation (MED) , 2018, pp. 1–6
2018
Cited alongside, same era.
A. W. Singletary, K. Klingebiel, J. R. Bourne, N. A. Browning, P. T. Tokumaru, and A. D. Ames, “Comparative analysis of control barrier functions and artificial potential fields for obstacle avoidance,” 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , pp. 8129–8136, 2021
2021
Later among the works it cites.
J. Zeng, B. Zhang, and K. Sreenath, “Safety-critical model predictive control with discrete-time control barrier function,” in 2021 American Control Conference (ACC) , 2021, pp. 3882–3889
2021
Later among the works it cites.
J. Panerati, H. Zheng, S. Zhou, J. Xu, A. Prorok, and A. P. Schoellig, “Learning to fly—a gym environment with pybullet physics for reinforcement learning of multi-agent quadcopter control,” in 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 2021
2021
Later among the works it cites.
——, “High-order control barrier functions,” IEEE Transactions on Automatic Control , vol. 67, no. 7, pp. 3655–3662, 2022
2022
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Bitcraze. (2018) Crazyflie python library. hhttps://github.com/bitcraze/crazyflie-lib-python
2018
Cited alongside, same era.
A. D. Ames, S. Coogan, M. Egerstedt, G. Notomista, K. Sreenath, and P. Tabuada, “Control barrier functions: Theory and applications,” in 2019 18th European Control Conference (ECC) , 2019
2019
Cited alongside, same era.
2021
Cited alongside, same era.
E. Coumans and Y. Bai, “Pybullet, a python module for physics simulation for robotics and machine learning,” http://pybullet.org
Cited in the paper.
Later among the works it cites.
C. Folkestad, S. X. Wei, and J. W. Burdick, “Koopnet: Joint learning of koopman bilinear models and function dictionaries with application to quadrotor trajectory tracking,” in 2022 International Conference on Robotics and Automation (ICRA) , 2022, pp. 1344–1350
2022
Later among the works it cites.
P. Thontepu, B. G. Goswami, M. Tayal, N. Singh, S. S. P I, S. S. M G, S. Sundaram, V. Katewa, and S. Kolathaya, “Collision cone control barrier functions for kinematic obstacle avoidance in ugvs,” in 2023 Ninth Indian Control Conference (ICC) , 2023, pp. 293–298
2023
Closest in time.