| SciPy 1.0: fundamental algorithms for scientific computing in Python P Virtanen, R Gommers, TE Oliphant, M Haberland, T Reddy, ... Nature methods 17 (3), 261-272, 2020 | 28634 | 2020 |
| Tails in biomimetic design: Analysis, simulation, and experiment R Briggs, J Lee, M Haberland, S Kim 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012 | 136 | 2012 |
| Pheeno, a versatile swarm robotic research and education platform S Wilson, R Gameros, M Sheely, M Lin, K Dover, R Gevorkyan, ... IEEE Robotics and Automation Letters 1 (2), 884-891, 2016 | 99 | 2016 |
| The optimal swing-leg retraction rate for running JGD Karssen, M Haberland, M Wisse, S Kim 2011 IEEE International Conference on Robotics and Automation, 4000-4006, 2011 | 71 | 2011 |
| The effect of swing leg retraction on running energy efficiency M Haberland, JGD Karssen, S Kim, M Wisse 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011 | 50 | 2011 |
| The effects of swing-leg retraction on running performance: analysis, simulation, and experiment JG Karssen, M Haberland, M Wisse, S Kim Robotica, 1-19, 0 | 38 | |
| On extracting design principles from biology: II. Case study—the effect of knee direction on bipedal robot running efficiency M Haberland, S Kim Bioinspiration & biomimetics 10 (1), 016011, 2015 | 37 | 2015 |
| On extracting design principles from biology: I. Method–General answers to high-level design questions for bioinspired robots M Haberland, S Kim Bioinspiration & biomimetics 10 (1), 016010, 2015 | 37 | 2015 |
| Decentralized stochastic control of robotic swarm density: Theory, simulation, and experiment H Li, C Feng, H Ehrhard, Y Shen, B Cobos, F Zhang, K Elamvazhuthi, ... 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 34 | 2017 |
| Uncertainty quantification for semi-supervised multi-class classification in image processing and ego-motion analysis of body-worn videos Y Qiao, C Shi, C Wang, H Li, M Haberland, X Luo, AM Stuart, AL Bertozzi Electronic Imaging 31 (11), 264-1-264-7, 2019 | 20 | 2019 |
| A blob method for inhomogeneous diffusion with applications to multi-agent control and sampling K Craig, K Elamvazhuthi, M Haberland, O Turanova Mathematics of Computation, 2023 | 17 | 2023 |
| Quasi-Monte Carlo Methods in Python PT Roy, AB Owen, M Balandat, M Haberland Journal of Open Source Software 8 (84), 5309, 2023 | 8 | 2023 |
| Quantitative Assessment of Robotic Swarm Coverage BG Anderson, E Loeser, M Gee, F Ren, S Biswas, O Turanova, ... arXiv preprint arXiv:1806.02488, 2018 | 7 | 2018 |
| Energetic Efficiency of a Compositional Controller on a Monoped With an Articulated Leg and SLIP Dynamics J Yu, D Hong, M Haberland 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 6 | 2018 |
| Semi-Supervised First-Person Activity Recognition in Body-Worn Video H Chen, H Li, A Song, M Haberland, O Akar, A Dhillon, T Zhou, ... arXiv preprint arXiv:1904.09062, 2019 | 4 | 2019 |
| The effect of mass distribution on bipedal robot efficiency M Haberland, H McClelland, S Kim, D Hong Proc. Dynamic Walking, 2014 | 3 | 2014 |
| tukey_hsd: An Accurate Implementation of the Tukey Honestly Significant Difference Test in Python D Chmiel, S Wallan, M Haberland Journal of Open Source Software 7 (75), 4383, 2022 | 2 | 2022 |
| Compressed Sensing Environmental Mapping by an Autonomous Robot M Horning, M Lin, S Srinivasan, S Zou, M Haberland, K Yin, A Bertozzi Proc. Second Int’l. Workshop on Robotic Sensor Networks, Seattle, WA, 2015 | 2 | 2015 |
| PDEs on graphs for semi-supervised learning applied to first-person activity recognition in body-worn video H Li, H Chen, M Haberland, AL Bertozzi, PJ Brantingham Discrete & Continuous Dynamical Systems 41 (9), 4351, 2021 | 1 | 2021 |
| Quantifying Robotic Swarm Coverage BG Anderson, E Loeser, M Gee, F Ren, S Biswas, O Turanova, ... International Conference on Informatics in Control, Automation and Robotics …, 2018 | 1 | 2018 |
