Our work on Robotics and AI:

  1. Miquel Oller, Dmitry Berenson, and Nima Fazeli. “Tactile-Driven Non-Prehensile Object Manipulation via Extrinsic Contact Mode Control” In Robotics: Science and Systems (RSS) (2024)
  2. Miquel Oller, Dmitry Berenson, and Nima Fazeli. “TactileVAD: Geometric Aliasing-Aware Dynamics for High-Resolution Tactile Control” In 7th Annual Conference on Robot Learning (CoRL 2023).
  3. Andrea Sipos and Nima Fazeli. “MultiSCOPE: Disambiguating In-Hand Object Poses with Proprioception and Tactile Feedback.” In Robotics: Science and Systems (RSS) (2023).
  4. Xili Yi and Nima Fazeli. “Precise Object Sliding with Top Contact via Asymmetric Dual Limit Surfaces.” In Robotics: Science and Systems (RSS) (2023).
  5. Miquel Oller, Mireia Planas, Dmitry Berenson, and Nima Fazeli. “Manipulation via Membranes: High-Resolution and Highly Deformable Tactile Sensing and Control.” In 6th Annual Conference on Robot Learning (CoRL 2022).
  6. Yizhou Chen, Andrea Sipos, Mark Van der Merwe, and Nima Fazeli. “Visuo-Tactile Transformers for Manipulation.” In 6th Annual Conference on Robot Learning (CoRL) (2022).
  7. Andrea Sipos and Nima Fazeli. “Simultaneous Contact Location and Object Pose Estimation Using Proprioception and Tactile Feedback.” In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 3233-3240. IEEE, 2022.
  8. Wi, Youngsun, Pete Florence, Andy Zeng, and Nima Fazeli. “Virdo: Visio-tactile implicit representations of deformable objects.” In 2022 IEEE International Conference on Robotics and Automation (ICRA) (2022).
  9. Zhong, Sheng Nima Fazeli, and Dmitry Berenson. “Soft Tracking Using Contacts for Cluttered Objects to Perform Blind Object Retrieval.” In 2022 IEEE International Conference on Robotics and Automation (ICRA) (2022).
  10. Zhong, Sheng, Zhenyuan Zhang, Nima Fazeli, and Dmitry Berenson. “TAMPC: A Controller for Escaping Traps in Novel Environments.” IEEE Robotics and Automation Letters 6, no. 2 (2021): 1447-1454.
  11. Fazeli, Nima, Anurag Ajay, and Alberto Rodriguez. “Long-horizon prediction and uncertainty propagation with residual point contact learners.” In 2020 IEEE International Conference on Robotics and Automation (ICRA), pp. 7898-7904. IEEE, 2020.
  12. Ajay, Anurag, Maria Bauza, Jiajun Wu, Nima Fazeli, Joshua B. Tenenbaum, Alberto Rodriguez, and Leslie P. Kaelbling. “Combining physical simulators and object-based networks for control.” In 2019 International Conference on Robotics and Automation (ICRA), pp. 3217-3223. IEEE, 2019.
  13. Fazeli, Nima, Miquel Oller, Jiajun Wu, Zheng Wu, Joshua B. Tenenbaum, and Alberto Rodriguez. “See, feel, act: Hierarchical learning for complex manipulation skills with multisensory fusion.” Science Robotics 4, no. 26 (2019): eaav3123.
  14. Ajay, Anurag, Jiajun Wu, Nima Fazeli, Maria Bauza, Leslie P. Kaelbling, Joshua B. Tenenbaum, and Alberto Rodriguez. “Augmenting physical simulators with stochastic neural networks: Case study of planar pushing and bouncing.” In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 3066-3073. IEEE, 2018.
  15. Zeng, Andy, Shuran Song, Kuan-Ting Yu, Elliott Donlon, Francois R. Hogan, Maria Bauza, Daolin Ma et al. “Robotic pick-and-place of novel objects in clutter with multi-affordance grasping and cross-domain image matching.” In 2018 IEEE international conference on robotics and automation (ICRA), pp. 3750-3757. IEEE, 2018.
  16. Fazeli, Nima, Samuel Zapolsky, Evan Drumwright, and Alberto Rodriguez. “Fundamental limitations in performance and interpretability of common planar rigid-body contact models.” In Robotics Research, pp. 555-571. Springer, Cham, 2020.
  17. Fazeli, Nima, Samuel Zapolsky, Evan Drumwright, and Alberto Rodriguez. “Learning data-efficient rigid-body contact models: Case study of planar impact.” In Conference on Robot Learning, pp. 388-397. PMLR, 2017.
  18. Fazeli, Nima, Elliott Donlon, Evan Drumwright, and Alberto Rodriguez. “Empirical evaluation of common contact models for planar impact.” In 2017 IEEE international conference on robotics and automation (ICRA), pp. 3418-3425. IEEE, 2017.
  19. Fazeli, Nima, Roman Kolbert, Russ Tedrake, and Alberto Rodriguez. “Parameter and contact force estimation of planar rigid-bodies undergoing frictional contact.” The International Journal of Robotics Research 36, no. 13-14 (2017): 1437-1454.
  20. Fazeli, Nima, Russ Tedrake, and Alberto Rodriguez. “Identifiability analysis of planar rigid-body frictional contact.” In Robotics Research, pp. 665-682. Springer, Cham, 2018.
  21. Yu, Kuan-Ting, Maria Bauza, Nima Fazeli, and Alberto Rodriguez. “More than a million ways to be pushed. a high-fidelity experimental dataset of planar pushing.” In 2016 IEEE/RSJ international conference on intelligent robots and systems (IROS), pp. 30-37. IEEE, 2016.
  22. Yu, Kuan-Ting, Nima Fazeli, Nikhil Chavan-Dafle, Orion Taylor, Elliott Donlon, Guillermo Diaz Lankenau, and Alberto Rodriguez. “A summary of team MIT’s approach to the amazon picking challenge 2015.” arXiv preprint arXiv:1604.03639 (2016).

Our work in the Biomedical engineering:

  1. Kim, Chang-Sei, Nima Fazeli, and Jin-Oh Hahn. “Data-driven modeling of pharmacological systems using endpoint information fusion.” Computers in biology and medicine 61 (2015): 36-47.
  2. Abdollahzade, Majid, Chang-Sei Kim, Nima Fazeli, Barry A. Finegan, M. Sean McMurtry, and Jin-Oh Hahn. “Data-driven lossy tube-load modeling of arterial tree: in-human study.” Journal of biomechanical engineering 136, no. 10 (2014): 101011.
  3. Fazeli, Nima, Chang-Sei Kim, Mohammad Rashedi, Alyssa Chappell, Shaohua Wang, Roderick MacArthur, M. Sean McMurtry, Barry Finegan, and Jin-Oh Hahn. “Subject-specific estimation of central aortic blood pressure via system identification: preliminary in-human experimental study.” Medical & biological engineering & computing 52, no. 10 (2014): 895-904.
  4. Kim, Chang-Sei, Nima Fazeli, M. Sean McMurtry, Barry A. Finegan, and Jin-Oh Hahn. “Quantification of wave reflection using peripheral blood pressure waveforms.” IEEE Journal of Biomedical and Health Informatics 19, no. 1 (2014): 309-316.
  5. Fazeli, Nima, and Jin-Oh Hahn. “Active Non-Intrusive System Identification for Cardiovascular Monitoring: Part II—Development of System Identifiction Algorithm.” In Dynamic Systems and Control Conference, vol. 56147, p. V003T43A004. American Society of Mechanical Engineers, 2013.
  6. Rashedi, Mohammad, Nima Fazeli, Alyssa Chappell, Shaohua Wang, Roderick MacArthur, M. Sean McMurtry, Barry Finegan, and Jin-Oh Hahn. “Modeling and system identification of arterial hemodynamics in humans.” In Dynamic Systems and Control Conference, vol. 56147, p. V003T43A003. American Society of Mechanical Engineers, 2013.
  7. Fazeli, Nima, Chang-Sei Kim, and Jin-Oh Hahn. “Non-invasive estimation of central blood pressure waveform using a dual diametric cuff system: a preliminary study.” In Frontiers in Biomedical Devices, vol. 56000, p. V001T08A003. American Society of Mechanical Engineers, 2013.
  8. Fazeli, Nima, Mohammad Rashedi, Alyssa Chappell, Shaohua Wang, Roderick MacArthur, M. Sean McMurtry, Barry Finegan, and Jin-Oh Hahn. “Subject-specific estimation of aortic blood pressure via system identification: Preliminary in-human experimental study.” In 2013 American Control Conference, pp. 740-745. IEEE, 2013.
  9. Rashedi, Mohammad, Nima Fazeli, Alyssa Chappell, Shaohua Wang, Roderick MacArthur, M. Sean McMurtry, Barry A. Finegan, and Jin-Oh Hahn. “Comparative study on tube-load modeling of arterial hemodynamics in humans.” Journal of biomechanical engineering 135, no. 3 (2013): 031005.
  10. Fazeli, Nima, Hee-Chan Kim, and Jin-Oh Hahn. “Active Non-Intrusive System Identification for Cardiovascular Monitoring: Part I—Excitation and Measurement Protocol Design.” In Dynamic Systems and Control Conference, vol. 45295, pp. 543-551. American Society of Mechanical Engineers, 2012.
  11. Fazeli, Nima, and Jin-Oh Hahn. “Estimation of cardiac output and peripheral resistance using square-wave-approximated aortic flow signal.” Frontiers in physiology 3 (2012): 298.