- Park, J.S., Xiao, X., Warnell, G., Yedidsion, H. and Stone, P., 2023, May. Learning perceptual hallucination for multi-robot navigation in narrow hallways. In IEEE International Conference on Robotics and Automation (pp. 10033-10039). IEEE. [ www ] ( CMA-ES | Continuous Optimization #)
- "We find θ with Covariance Matrix Adaptation Evolution Strategy (CMA-ES), a population-based, blackbox optimization method. CMA-ES finds the best (lowest cost) sample within a fixed number of generations."
- N. Hansen, S. Muller, and P. Koumoutsakos, “Reducing the time complexity of the derandomized evolution strategy with covariance matrix adaptation (CMA-ES).” Evolutionary Computation, vol. 11, no. 1, pp. 1–18, 2003.
- N. Hansen, “The cma evolution strategy: A tutorial,” arXiv preprint arXiv:1604.00772, 2016.
- "We find θ with Covariance Matrix Adaptation Evolution Strategy (CMA-ES), a population-based, blackbox optimization method. CMA-ES finds the best (lowest cost) sample within a fixed number of generations."
- Zhu, X., Lian, W., Yuan, B., Freeman, C.D. and Tomizuka, M., 2023, May. Allowing safe contact in robotic goal-reaching: Planning and tracking in operational and null spaces. In IEEE International Conference on Robotics and Automation (pp. 8120-8126). IEEE. [ www ]
- "This paper proposes a hybrid solver that integrates the covariance matrix adaptation evolution strategy (CMA-ES) and the gradient descent method."
- N. Hansen, “The CMA evolution strategy: A tutorial,” in arXiv Preprint, 2016.
- R. Antonova, J. Yang, K. M. Jatavallabhula, and J. Bohg, “Rethinking optimization with differentiable simulation from a global perspective,” in arXiv Preprint, 2022.
- X. Chen, X. Liu, and Y. Jia, “Combining evolution strategy and gradient descent method for discriminative learning of bayesian classifiers,” in 11th Annual Genetic and Evolutionary Computation Conference, GECCO-2009, 01 2009, pp. 507–514.
- "This paper proposes a hybrid solver that integrates the covariance matrix adaptation evolution strategy (CMA-ES) and the gradient descent method."
- Song, S., Kim, J. and Yamane, K., 2015, May. Development of a bipedal robot that walks like an animation character. In IEEE International Conference on Robotics and Automation (pp. 3596-3602). IEEE. [ www ] ( CMA-ES | Continuous Optimization )
- Gehring, C., Coros, S., Hutter, M., Bloesch, M., Fankhauser, P., Hoepflinger, M.A. and Siegwart, R., 2014, May. Towards automatic discovery of agile gaits for quadrupedal robots. In IEEE International Conference on Robotics and Automation (pp. 4243-4248). IEEE. [ www ] ( CMA-ES | Continuous Optimization )
- Nogami, R., Noborio, H., Ujibe, F. and Fujii, H., 2004, April. Precise deformation of rheologic object under MSD models with many voxels and calibrating parameters. In IEEE International Conference on Robotics and Automation. 2004 (pp. 1919-1926). IEEE. [ www ] ( GA )
- Joukhadar, A., Garat, F. and Laugier, C., 1997, April. Parameter identification for dynamic simulation. In IEEE International Conference on Robotics and Automation (pp. 1928-1933). IEEE. [ www ] ( GA )
R.Ourari, K. Cui, A. Elshamanhory and H. Koeppl, "Nearest-Neighbor-based Collision Avoidance for Quadrotors via Reinforcement Learning," 2022 International Conference on Robotics and Automation (ICRA), Philadelphia, PA, USA, 2022, pp. 293-300, doi: 10.1109/ICRA46639.2022.9812221. [ www ]
S.Yi, Z. Temel and K. Sycara, "Configuration Control for Physical Coupling of Heterogeneous Robot Swarms," 2022 International Conference on Robotics and Automation (ICRA), Philadelphia, PA, USA, 2022, pp. 4268-4274, doi: 10.1109/ICRA46639.2022.9812115. [ www ]
T.Mai, N. Traichel and S. Mostaghim, "Driving Swarm: A Swarm Robotics Framework for Intelligent Navigation in a Self-organized World," 2022 International Conference on Robotics and Automation (ICRA), Philadelphia, PA, USA, 2022, pp. 01-07, doi: 10.1109/ICRA46639.2022.9811852. [ www ]
E.Lee, Q. Lu and T. -C. Au, "Dynamic Robot Chain Networks for Swarm Foraging," 2022 International Conference on Robotics and Automation (ICRA), Philadelphia, PA, USA, 2022, pp. 4965-4971, doi: 10.1109/ICRA46639.2022.9811625. [ www ]
L.Quan, L. Yin, C. Xu and F. Gao, "Distributed Swarm Trajectory Optimization for Formation Flight in Dense Environments," 2022 International Conference on Robotics and Automation (ICRA), Philadelphia, PA, USA, 2022, pp. 4979-4985, doi: 10.1109/ICRA46639.2022.9812050. [ www ]
K.Shen, E. Xiao, Y. Liu and C. Feng, "A Deep Reinforcement Learning Environment for Particle Robot Navigation and Object Manipulation," 2022 International Conference on Robotics and Automation (ICRA), Philadelphia, PA, USA, 2022, pp. 6232-6239, doi: 10.1109/ICRA46639.2022.9811965. [ www ]
U.K. Kaiser, M. J. Begemann, T. Plattenteich, L. Schilling, G. Schildbach and H. Hamann, "ROS2SWARM - A ROS 2 Package for Swarm Robot Behaviors," 2022 International Conference on Robotics and Automation (ICRA), Philadelphia, PA, USA, 2022, pp. 6875-6881, doi: 10.1109/ICRA46639.2022.9812417. [ www ]
L.Alhafnawi, E. R. Hunt, S. Lemaignan, P. O'Dowd and S. Hauert, "MOSAIX: a Swarm of Robot Tiles for Social Human-Swarm Interaction," 2022 International Conference on Robotics and Automation (ICRA), Philadelphia, PA, USA, 2022, pp. 6882-6888, doi: 10.1109/ICRA46639.2022.9811723. [ www ]
F.Miyauchi, Y. K. Lopes and R. Groß, "Multi-Operator Control of Connectivity-Preserving Robot Swarms Using Supervisory Control Theory," 2022 International Conference on Robotics and Automation (ICRA), Philadelphia, PA, USA, 2022, pp. 6889-6895, doi: 10.1109/ICRA46639.2022.9812242. [ www ]
D.Albani, T. Manoni, M. Saska and E. Ferrante, "Distributed Three Dimensional Flocking of Autonomous Drones," 2022 International Conference on Robotics and Automation (ICRA), Philadelphia, PA, USA, 2022, pp. 6904-6911, doi: 10.1109/ICRA46639.2022.9811633. [ www ]
T.Z. Jiahao, L. Pan and M. A. Hsieh, "Learning to Swarm with Knowledge-Based Neural Ordinary Differential Equations," 2022 International Conference on Robotics and Automation (ICRA), Philadelphia, PA, USA, 2022, pp. 6912-6918, doi: 10.1109/ICRA46639.2022.9811997. [ www ]
E.Vielfaure, S. Arseneault, P. -Y. Lajoie and G. Beltrame, "DORA: Distributed Online Risk-Aware Explorer," 2022 International Conference on Robotics and Automation (ICRA), Philadelphia, PA, USA, 2022, pp. 6919-6926, doi: 10.1109/ICRA46639.2022.9812237. [ www ]
M.A. V. J. Muthugala, S. M. B. P. Samarakoon and M. R. Elara, "Design by Robot: A Human-Robot Collaborative Framework for Improving Productivity of a Floor Cleaning Robot," 2022 International Conference on Robotics and Automation (ICRA), Philadelphia, PA, USA, 2022, pp. 7444-7450, doi: 10.1109/ICRA46639.2022.9812314. [ www ]
R.O. Sachidanandam, S. Honarvar and Y. Diaz-Mercado, "Effectiveness of Augmented Reality for Human Swarm Interactions," 2022 International Conference on Robotics and Automation (ICRA), Philadelphia, PA, USA, 2022, pp. 11258-11264, doi: 10.1109/ICRA46639.2022.9812080. [ www ]
F.A. Waltersson, R. Laezza and Y. Karayiannidis, "Planning and Control for Cable-routing with Dual-arm Robot," 2022 International Conference on Robotics and Automation (ICRA), Philadelphia, PA, USA, 2022, pp. 1046-1052, doi: 10.1109/ICRA46639.2022.9811765. [ www ]
Z.Song and J. Schneider, "Robust Reinforcement Learning via Genetic Curriculum," 2022 International Conference on Robotics and Automation (ICRA), Philadelphia, PA, USA, 2022, pp. 5560-5566, doi: 10.1109/ICRA46639.2022.9812420. [ www ]
J. Styrud, M. Iovino, M. Norrlöf, M. Björkman and C. Smith, "Combining Planning and Learning of Behavior Trees for Robotic Assembly," 2022 International Conference on Robotics and Automation (ICRA), Philadelphia, PA, USA, 2022, pp. 11511-11517, doi: 10.1109/ICRA46639.2022.9812086. [ www ]
U.Lim et al., "Real2Sim2Real: Self-Supervised Learning of Physical Single-Step Dynamic Actions for Planar Robot Casting," 2022 International Conference on Robotics and Automation (ICRA), Philadelphia, PA, USA, 2022, pp. 8282-8289, doi: 10.1109/ICRA46639.2022.9811651. [ www ]
J.Dupeyroux, J. J. Hagenaars, F. Paredes-Vallés and G. C. H. E. de Croon, "Neuromorphic control for optic-flow-based landing of MAVs using the Loihi processor," 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi'an, China, 2021, pp. 96-102, doi: 10.1109/ICRA48506.2021.9560937. [ www ]
J.Du, D. Jin, Q. Wang, S. Yang, P. Wai Yan Chiu and L. Zhang, "Parallel Actuation of Nanorod Swarm and Nanoparticle Swarm to Different Targets," 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi'an, China, 2021, pp. 616-622, doi: 10.1109/ICRA48506.2021.9561625. [ www ]
M. Machida and M. Ichien, "Consensus-Based Control Barrier Function for Swarm," 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi'an, China, 2021, pp. 8623-8628, doi: 10.1109/ICRA48506.2021.9561971. [ www ]
K.Zhou, J. Zhu, H. Zhou, C. Xu and F. Gao, "EGO-Swarm: A Fully Autonomous and Decentralized Quadrotor Swarm System in Cluttered Environments," 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi'an, China, 2021, pp. 4101-4107, doi: 10.1109/ICRA48506.2021.9561902. [ www ]
A.Ahmad et al., "Autonomous Aerial Swarming in GNSS-denied Environments with High Obstacle Density," 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi'an, China, 2021, pp. 570-576, doi: 10.1109/ICRA48506.2021.9561284. [ www ]
P. Kedia and M. Rao, "GenGrid: A Generalised Distributed Experimental Environmental Grid for Swarm Robotics," 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi'an, China, 2021, pp. 1910-1917, doi: 10.1109/ICRA48506.2021.9561654. [ www ]
T.Liu, X. Sun, C. Hu, Q. Fu and S. Yue, "A Versatile Vision-Pheromone-Communication Platform for Swarm Robotics," 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi'an, China, 2021, pp. 7261-7266, doi: 10.1109/ICRA48506.2021.9561911. [ www ]
E.Lee, Q. Lu and T. -C. Au, "Multiple-Place Swarm Foraging with Dynamic Robot Chains," 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi'an, China, 2021, pp. 11337-11342, doi: 10.1109/ICRA48506.2021.9561124. [ www ]
D.M. Bossens and D. Tarapore, "Rapidly adapting robot swarms with Swarm Map-based Bayesian Optimisation," 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi'an, China, 2021, pp. 9848-9854, doi: 10.1109/ICRA48506.2021.9560958. [ www ]
L.Fernando, "Online Flocking Control of UAVs with Mean-Field Approximation," 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi'an, China, 2021, pp. 8977-8983, doi: 10.1109/ICRA48506.2021.9560899. [ www ]
S. Yi, Z. Temel and K. Sycara, "PuzzleBots: Physical Coupling of Robot Swarms," 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi'an, China, 2021, pp. 8742-8748, doi: 10.1109/ICRA48506.2021.9561610. [ www ]
Q.Rezeck, R. M. Assunção and L. Chaimowicz, "Flocking-Segregative Swarming Behaviors using Gibbs Random Fields," 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi'an, China, 2021, pp. 8757-8763, doi: 10.1109/ICRA48506.2021.9561412. [ www ]
U.Kiyokawa, J. Takamatsu and T. Ogasawara, "Assembly Sequences Based on Multiple Criteria Against Products with Deformable Parts," 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi'an, China, 2021, pp. 975-981, doi: 10.1109/ICRA48506.2021.9561925. [ www ]
M.Iovino, J. Styrud, P. Falco and C. Smith, "Learning Behavior Trees with Genetic Programming in Unpredictable Environments," 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi'an, China, 2021, pp. 4591-4597, doi: 10.1109/ICRA48506.2021.9562088. [ www ]
K.Lekkala and L. Itti, "Shaped Policy Search for Evolutionary Strategies using Waypoints," 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi'an, China, 2021, pp. 9093-9100, doi: 10.1109/ICRA48506.2021.9561607. [ www ]
F.Fadini, T. Flayols, A. Del Prete, N. Mansard and P. Souères, "Computational design of energy-efficient legged robots: Optimizing for size and actuators," 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi'an, China, 2021, pp. 9898-9904, doi: 10.1109/ICRA48506.2021.9560988. [ www ]
T. Bachmann, K. Nottensteiner and M. A. Roa, "Automated Planning of Workcell Layouts Considering Task Sequences," 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi'an, China, 2021, pp. 12662-12668, doi: 10.1109/ICRA48506.2021.9561831. [ www ]
N.Li, A. Richards and M. Sooriyabandara, "Asynchronous Reliability-Aware Multi-UAV Coverage Path Planning," 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi'an, China, 2021, pp. 10023-10029, doi: 10.1109/ICRA48506.2021.9560770. [ www ]
X. Pan, A. Garg, A. Anandkumar and Y. Zhu, "Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects," 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi'an, China, 2021, pp. 7540-7547, doi: 10.1109/ICRA48506.2021.9562092. [ www ]
Austin, J., Corrales-Fatou, R., Wyetzner, S. and Lipson, H., 2020, May. Titan: A parallel asynchronous library for multi-agent and soft-body robotics using nvidia cuda. In IEEE International Conference on Robotics and Automation (pp. 7754-7760). IEEE. [ www | CUDA ]
L. Zhou, V. Tzoumas, G. J. Pappas and P. Tokekar, "Distributed Attack-Robust Submodular Maximization for Multi-Robot Planning," 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 2020, pp. 2479-2485, doi: 10.1109/ICRA40945.2020.9197243. [ www ]
A.T. Becker et al., "Targeted Drug Delivery: Algorithmic Methods for Collecting a Swarm of Particles with Uniform, External Forces," 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 2020, pp. 2508-2514, doi: 10.1109/ICRA40945.2020.9196551. [ www ]
G.Shi, W. Hönig, Y. Yue and S. -J. Chung, "Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using Learned Interactions," 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 2020, pp. 3241-3247, doi: 10.1109/ICRA40945.2020.9196800. [ www ]
R.Patel, E. Rudnick-Cohen, S. Azarm, M. Otte, H. Xu and J. W. Herrmann, "Decentralized Task Allocation in Multi-Agent Systems Using a Decentralized Genetic Algorithm," 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 2020, pp. 3770-3776, doi: 10.1109/ICRA40945.2020.9197314. [ www ]
S.Zhang, Y. Chen, J. Zhang and Y. Jia, "Real-Time Adaptive Assembly Scheduling in Human-Multi-Robot Collaboration According to Human Capability," 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 2020, pp. 3860-3866, doi: 10.1109/ICRA40945.2020.9196618. [ www ]
A.Binch, G. P. Das, J. Pulido Fentanes and M. Hanheide, "Context Dependant Iterative Parameter Optimisation for Robust Robot Navigation," 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 2020, pp. 3937-3943, doi: 10.1109/ICRA40945.2020.9196550. [ www ]
M. Luo et al., "Robotic Swarm Control for Precise and On-Demand Embolization," 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 2020, pp. 4470-4476, doi: 10.1109/ICRA40945.2020.9197009. [ www ]
Q.Lu, G. M. Fricke, T. Tsuno and M. E. Moses, "A Bio-Inspired Transportation Network for Scalable Swarm Foraging," 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 2020, pp. 6120-6126, doi: 10.1109/ICRA40945.2020.9196762. [ www ]
K. Rosser, J. Kok, J. Chahl and J. Bongard, "Sim2real gap is non-monotonic with robot complexity for morphology-in-the-loop flapping wing design," 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 2020, pp. 7001-7007, doi: 10.1109/ICRA40945.2020.9196539. [ www ]
D.Wu, W. Zhang, M. Qin and B. Xie, "Interval Search Genetic Algorithm Based on Trajectory to Solve Inverse Kinematics of Redundant Manipulators and Its Application," 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 2020, pp. 7088-7094, doi: 10.1109/ICRA40945.2020.9196890. [ www ]
E.B. Ferreira Filho and L. C. A. Pimenta, "Segregation of Heterogeneous Swarms of Robots in Curves," 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 2020, pp. 7173-7179, doi: 10.1109/ICRA40945.2020.9196851. [ www ]
H.Wang and M. Rubenstein, "A Fast, Accurate, and Scalable Probabilistic Sample-Based Approach for Counting Swarm Size," 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 2020, pp. 7180-7185, doi: 10.1109/ICRA40945.2020.9196529. [ www ]
I.T. Ebert, M. Gauci, F. Mallmann-Trenn and R. Nagpal, "Bayes Bots: Collective Bayesian Decision-Making in Decentralized Robot Swarms," 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 2020, pp. 7186-7192, doi: 10.1109/ICRA40945.2020.9196584. [ www ]
Y.K. Lopes, S. M. Trenkwalder, A. B. Leal, T. J. Dodd and R. Groß, "Supervisory Control of Robot Swarms Using Public Events," 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 2020, pp. 7193-7199, doi: 10.1109/ICRA40945.2020.9197418. [ www ]
P.Saha, A. Ali, B. A. Mudassar, Y. Long and S. Mukhopadhyay, "MagNet: Discovering Multi-agent Interaction Dynamics using Neural Network," 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 2020, pp. 8158-8164, doi: 10.1109/ICRA40945.2020.9196846. [ www ]
H. Xu, L. Wang, Y. Zhang, K. Qiu and S. Shen, "Decentralized Visual-Inertial-UWB Fusion for Relative State Estimation of Aerial Swarm," 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 2020, pp. 8776-8782, doi: 10.1109/ICRA40945.2020.9196944. [ www ]
L.Yang, J. Yu and L. Zhang, "A Mobile Paramagnetic Nanoparticle Swarm with Automatic Shape Deformation Control," 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 2020, pp. 9230-9236, doi: 10.1109/ICRA40945.2020.9197010. [ [www]https://ieeexplore.ieee.org/document/9197010) ]
Heijnen, H., Howard, D. and Kottege, N., 2017, May. A testbed that evolves hexapod controllers in hardware. In IEEE International Conference on Robotics and Automation (pp. 1065-1071). IEEE. [ www ]
Hornby, G.S., Lipson, H. and Pollack, J.B., 2001, May. Evolution of generative design systems for modular physical robots. In IEEE International Conference on Robotics and Automation (Vol. 4, pp. 4146-4151). IEEE. [ www ]
Paredis, C.J. and Khosla, P.K., 1997, April. Agent-based design of fault tolerant manipulators for satellite docking. In IEEE International Conference on Robotics and Automation (Vol. 4, pp. 3473-3480). IEEE. [ www ]
Lewis, M.A., Fagg, A.H. and Solidum, A., 1992, May. Genetic programming approach to the construction of a neural network for control of a walking robot. In IEEE International Conference on Robotics and Automation (pp. 2618-2623). [ www ]