About Me
Ajay Kumar Tanwani, PhD Student
Computer and Communication Sciences Department
École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
Email: ajay.tanwani at idiap.ch, ajay.tanwani at epfl.ch
I am currently interning with Google X in Mountain View, California.
Research Interests
My recent work focuses on developing probabilistic learning models for human-centric skill acquisition in robots and their application to telerobotics, in collaboration with Sylvain Calinon. My interests broadly revolve around developing machine learning techniques for solving real world problems. The main scientific subjects I investigate include:
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Publications
- Ajay Kumar Tanwani, Sylvain Calinon. A Generative Model for Intention Recognition and Manipulation Assistance in Teleoperation . IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017
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- Ajay Kumar Tanwani, Sylvain Calinon. Small Variance Asymptotics for Non-Parametric Online Robot Learning. arXiv:1610.02468, 2016
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- Ajay Kumar Tanwani, Sylvain Calinon. Online Inference in Bayesian Non-Parametric Mixture Models under Small Variance Asymptotics . NIPS workshop on Advances in Approximate Bayesian Inference, 2016
[pdf] [bibtex] [poster]
- J. Gancet, P. Weiss, G. Antonelli, MF. Pfingsthorn, S. Calinon, A. Turetta, C. Walen, D. Urbina, S. Govindaraj, P. Letier, X. Martinez, J. Salini, B. Chemisky, G. Indiveri, G. Casalino, P. Di Lillo, E. Simetti, D. De Palma, A. Birk, A. K. Tanwani, I. Havoutis, A. Caffaz, L. Guilpain. Dexterous Undersea Interventions with Far Distance Onshore Supervision: the DexROV Project . IFAC Conference on Control Applications in Marine Systems (CAMS), 2016
[pdf] [bibtex]
- Ioannis Havoutis, Ajay Kumar Tanwani and Sylvain Calinon, Online Incremental Learning of Manipulation Tasks for Semi-Autonomous Teleoperation . IEEE/RSJ IROS Workshop on Closed-loop Grasping and Manipulation, 2016
[pdf]
- [Best Manipulation Paper Award Finalist at ICRA 2016] Ajay Kumar Tanwani, Sylvain Calinon. Learning Robot Manipulation Tasks with Task-Parameterized Semi-Tied Hidden Semi-Markov Model. IEEE Robotics and Automation Letters (RA-L), vol. 1 (1), pp. 235-242, 2016. presented in International Conference on Robotics and Automation (ICRA) 2016
[pdf] [bibtex] [video] [codes] [slides] [media1][media2]
- Ajay Kumar Tanwani. Learning Robot Manipulation Tasks with Semi-Tied Gaussian Mixture Models. Swiss Machine Learning Day, EPFL, 2015
[link] [slides]
- J. Gancet, D. Urbina, P. Letier, M. Ilzokvitz, P. Weiss, F. Gauch, G. Antonelli, G. Indiveri, G. Casalino, A. Birk, MF. Pfingsthorn, S. Calinon, A. K. Tanwani, A. Turetta, C. Walen, L. Guilpain. DexROV: Dexterous Undersea Inspection and Maintenance in Presence of Communication Latencies. IFAC Workshop on Navigation, Guidance and Control of Underwater Vehicles (NGCUV), 2015
[pdf] [bibtex]
- Ajay Kumar Tanwani, José del R. Millán, Aude Billard. Rewards-Driven Control of Robot Arm by Decoding EEG Signals. IEEE Engineering in Medicine and Biology Society Conference (EMBC), 2014
[pdf] [bibtex] [slides]
- Ajay Kumar Tanwani, Aude Billard. Transfer in Inverse Reinforcement Learning for Multiple Strategies. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2013
[pdf] [bibtex] [video] [slides]
- Ajay Kumar Tanwani, Aude Billard. Inverse Reinforcement Learning for Compliant Manipulation in Letter Handwriting. National Center of Competence in Robotics Research (NCCR) Review, 2013
[poster]
- Pawel Wawrzynski, Ajay Kumar Tanwani. Autonomous reinforcement learning with experience replay. Neural Networks, Elsevier, 2013
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- Ajay Kumar Tanwani. Optimizing walking of a humanoid robot using reinforcement learning. MS Thesis, European Masters on Advanced Robotics (EMARO), Nov 2011
[pdf] [bibtex] [video]
- Ajay Kumar Tanwani, Muddassar Farooq, Classification potential vs classification accuracy: a comprehensive study of evolutionary algorithms with biomedical datasets. J. Bacardit et al. (Eds), Learning Classifier Systems (LCS), Springer LNAI, 2010
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- Ajay Kumar Tanwani, Jamal Afridi, Zubair Shafique and Muddassar Farooq. Guidelines to select machine learning scheme for classification of biomedical datasets. 7th European Conference on Evolutionary Computation, Machine Learning and Datamining (EvoBIO), Springer LNCS, 2009
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- Ajay Kumar Tanwani, Muddassar Farooq. The role of biomedical dataset in classification. Artificial Intelligence in Medicine (AIME), Springer LNAI, 2009
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- Syed Bilal Mehdi, Ajay Kumar Tanwani, Muddassar Farooq. IMAD: In-execution malware analysis and detection. Genetic and Evolutionary Computation Conference (GECCO), 2009
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- Ajay Kumar Tanwani, Muddassar Farooq. Performance evaluation of evolutionary algorithms in classification of biomedical datasets. International Workshop on Learning Classifier Systems, IWLCS (GECCO), 2009
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- Amina Tariq, Ajay Kumar Tanwani and Muddassar Farooq. User-centered design for mobile healthcare application in conservative environments. 10th Annual Conference of the NZ group on Human Computer Interaction, CHI-NZ, 2009
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