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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Bayesian Optimization Using Domain Knowledge on the ATRIAS Biped
Akshara Rai, Rika Antonova, Seungmoon Song, et al.
(2018), pp. 1771-1778
Open Access | Times Cited: 63

Showing 1-25 of 63 citing articles:

Learning Fast Adaptation With Meta Strategy Optimization
Wenhao Yu, Jie Tan, Yunfei Bai, et al.
IEEE Robotics and Automation Letters (2020) Vol. 5, Iss. 2, pp. 2950-2957
Open Access | Times Cited: 74
DeepWalk: Omnidirectional Bipedal Gait by Deep Reinforcement Learning
Diego Rodríguez, Sven Behnke
(2021), pp. 3033-3039
Open Access | Times Cited: 47
Using Deep Reinforcement Learning to Learn High-Level Policies on the ATRIAS Biped
Tianyu Li, Hartmut Geyer, Christopher G. Atkeson, et al.
2022 International Conference on Robotics and Automation (ICRA) (2019), pp. 263-269
Open Access | Times Cited: 52
Bayesian Optimization for Whole-Body Control of High-Degree-of-Freedom Robots Through Reduction of Dimensionality
Kai Yuan, Iordanis Chatzinikolaidis, Zhibin Li
IEEE Robotics and Automation Letters (2019) Vol. 4, Iss. 3, pp. 2268-2275
Open Access | Times Cited: 41
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization
Benjamin Letham, Roberto Calandra, Akshara Rai, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 30
Planning in Learned Latent Action Spaces for Generalizable Legged Locomotion
Tianyu Li, Roberto Calandra, Deepak Pathak, et al.
IEEE Robotics and Automation Letters (2021) Vol. 6, Iss. 2, pp. 2682-2689
Open Access | Times Cited: 26
Learning to use chopsticks in diverse gripping styles
Zeshi Yang, KangKang Yin, Libin Liu
ACM Transactions on Graphics (2022) Vol. 41, Iss. 4, pp. 1-17
Open Access | Times Cited: 17
Robot Learning With Crash Constraints
Alonso Marco, Dominik Baumann, Majid Khadiv, et al.
IEEE Robotics and Automation Letters (2021) Vol. 6, Iss. 2, pp. 1439-1446
Open Access | Times Cited: 21
Robust Walking Based on MPC With Viability Guarantees
Mohammad Hasan Yeganegi, Majid Khadiv, Andrea Del Prete, et al.
IEEE Transactions on Robotics (2021) Vol. 38, Iss. 4, pp. 2389-2404
Open Access | Times Cited: 20
ExTrEMO: Transfer Evolutionary Multiobjective Optimization With Proof of Faster Convergence
Jiao Liu, Abhishek Gupta, Chin Chun Ooi, et al.
IEEE Transactions on Evolutionary Computation (2024) Vol. 29, Iss. 1, pp. 102-116
Closed Access | Times Cited: 2
Quadruped-Frog: Rapid Online Optimization of Continuous Quadruped Jumping
Guillaume Bellegarda, Milad Shafiee, Merih Ekin Özberk, et al.
(2024), pp. 1443-1450
Open Access | Times Cited: 2
BeBOP - Combining Reactive Planning and Bayesian Optimization to Solve Robotic Manipulation Tasks
Jonathan Styrud, Matthias Mayr, Erik Hellsten, et al.
(2024), pp. 16459-16466
Open Access | Times Cited: 2
Beyond Basins of Attraction: Quantifying Robustness of Natural Dynamics
Steve Heim, Alexander Badri–Spröwitz
IEEE Transactions on Robotics (2019) Vol. 35, Iss. 4, pp. 939-952
Open Access | Times Cited: 22
Benchmarking Potential Based Rewards for Learning Humanoid Locomotion
Se Hwan Jeon, Steve Heim, Charles Khazoom, et al.
(2023)
Open Access | Times Cited: 6
Learning Robust Task Priorities and Gains for Control of Redundant Robots
Luigi Penco, Enrico Mingo Hoffman, Valerio Modugno, et al.
IEEE Robotics and Automation Letters (2020) Vol. 5, Iss. 2, pp. 2626-2633
Open Access | Times Cited: 16
Locomotion Planning through a Hybrid Bayesian Trajectory Optimization
Tim Seyde, Jan Carius, Ruben Grandia, et al.
2022 International Conference on Robotics and Automation (ICRA) (2019), pp. 5544-5550
Open Access | Times Cited: 17
Robust Humanoid Locomotion Using Trajectory Optimization and Sample-Efficient Learning
Mohammad Hasan Yeganegi, Majid Khadiv, S. Ali A. Moosavian, et al.
(2019), pp. 170-177
Open Access | Times Cited: 16
Deep Kernel and Image Quality Estimators for Optimizing Robotic Ultrasound Controller using Bayesian Optimization
Deepak Raina, SH Chandrashekhara, Richard M. Voyles, et al.
(2023), pp. 1-7
Open Access | Times Cited: 5
Global Search with Bernoulli Alternation Kernel for Task-oriented Grasping Informed by Simulation
Rika Antonova, Mia Kokić, Johannes A. Stork, et al.
arXiv (Cornell University) (2018)
Open Access | Times Cited: 13
High-Dimensional Controller Tuning through Latent Representations
Alireza Sarmadi, P. Krishnamurthy, Farshad Khorrami
(2024), pp. 10853-10859
Open Access | Times Cited: 1
Bayesian Optimization Meets Riemannian Manifolds in Robot Learning
Noémie Jaquier, Leonel Rozo, Sylvain Calinon, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 11
Adjustable Compliance and Force Feedback as Key Elements for Stable and Efficient Hopping
Rustam Galljamov, Arjang Ahmadi, Omid Mohseni, et al.
IEEE Robotics and Automation Letters (2021) Vol. 6, Iss. 4, pp. 6797-6804
Closed Access | Times Cited: 10
Combining Simulations and Real-Robot Experiments for Bayesian Optimization of Bipedal Gait Stabilization
Diego Rodríguez, André Brandenburger, Sven Behnke
Lecture notes in computer science (2019), pp. 70-82
Closed Access | Times Cited: 10
Unified GRF-based control for adjusting hopping frequency with various robot configurations
Omid Mohseni, Patrick Schmidt, André Seyfarth, et al.
Advanced Robotics (2022) Vol. 36, Iss. 13, pp. 641-653
Closed Access | Times Cited: 6
Auto-Tuning of Controller and Online Trajectory Planner for Legged Robots
Alexander Schperberg, Stefano Di Cairano, Marcel Menner
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 3, pp. 7802-7809
Closed Access | Times Cited: 6
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