Prajval Kumar Murali
Research title: Visuo-Tactile Perception for Object Manipulation and Safe Human-Robot Interaction
Publications
2023
Murali, P. K. , Porr, B. and Kaboli, M. (2023) Touch if it's Transparent! ACTOR: Active Tactile-Based Category-Level Transparent Object Reconstruction. In: 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023), Detroit, MI, USA, 1-5 October 2023, pp. 10792-10799. ISBN 9781665491914 (doi: 10.1109/iros55552.2023.10341680)
2022
Murali, P. K. , Wang, C., Lee, D., Dahiya, R. and Kaboli, M. (2022) Deep active cross-modal visuo-tactile transfer learning for robotic object recognition. IEEE Robotics and Automation Letters, 7(4), 9557 - 9564. (doi: 10.1109/LRA.2022.3191408)
Murali, P. K. , Dahiya, R. and Kaboli, M. (2022) An Empirical Evaluation of Various Information Gain Criteria for Active Tactile Action Selection for Pose Estimation. In: 2022 IEEE International Conference on Flexible & Printable Sensors & Systems, Vienna, Austria, 10-13 Jul 2022, ISBN 9781665442732 (doi: 10.1109/FLEPS53764.2022.9781598)
Murali, P. K. , Wang, C., Dahiya, R. and Kaboli, M. (2022) Towards Robust 3D Object Recognition with Dense-to-Sparse Deep Domain Adaptation. In: 2022 IEEE International Conference on Flexible & Printable Sensors & Systems, Vienna, Austria, 10-13 Jul 2022, ISBN 9781665442732 (doi: 10.1109/FLEPS53764.2022.9781490)
Murali, P. K. , Dutta, A., Gentner, M., Burdet, E., Dahiya, R. and Kaboli, M. (2022) Active visuo-tactile interactive robotic perception for accurate object pose estimation in dense clutter. IEEE Robotics and Automation Letters, 7(2), pp. 4686-4693. (doi: 10.1109/LRA.2022.3150045)
Murali, P. K. , Kaboli, M. and Dahiya, R. (2022) Intelligent in-vehicle interaction technologies. Advanced Intelligent Systems, 4(2), 2100122. (doi: 10.1002/aisy.202100122)
2021
Murali, P. K. , Gentner, M. and Kaboli, M. (2021) Active Visuo-Tactile Point Cloud Registration for Accurate Pose Estimation of Objects in an Unknown Workspace. In: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Prague, Czech Republic, 27 Sept-1 Oct 2021, ISBN 9781665417150 (doi: 10.1109/IROS51168.2021.9636877)
Articles
Murali, P. K. , Wang, C., Lee, D., Dahiya, R. and Kaboli, M. (2022) Deep active cross-modal visuo-tactile transfer learning for robotic object recognition. IEEE Robotics and Automation Letters, 7(4), 9557 - 9564. (doi: 10.1109/LRA.2022.3191408)
Murali, P. K. , Dutta, A., Gentner, M., Burdet, E., Dahiya, R. and Kaboli, M. (2022) Active visuo-tactile interactive robotic perception for accurate object pose estimation in dense clutter. IEEE Robotics and Automation Letters, 7(2), pp. 4686-4693. (doi: 10.1109/LRA.2022.3150045)
Murali, P. K. , Kaboli, M. and Dahiya, R. (2022) Intelligent in-vehicle interaction technologies. Advanced Intelligent Systems, 4(2), 2100122. (doi: 10.1002/aisy.202100122)
Conference Proceedings
Murali, P. K. , Porr, B. and Kaboli, M. (2023) Touch if it's Transparent! ACTOR: Active Tactile-Based Category-Level Transparent Object Reconstruction. In: 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023), Detroit, MI, USA, 1-5 October 2023, pp. 10792-10799. ISBN 9781665491914 (doi: 10.1109/iros55552.2023.10341680)
Murali, P. K. , Dahiya, R. and Kaboli, M. (2022) An Empirical Evaluation of Various Information Gain Criteria for Active Tactile Action Selection for Pose Estimation. In: 2022 IEEE International Conference on Flexible & Printable Sensors & Systems, Vienna, Austria, 10-13 Jul 2022, ISBN 9781665442732 (doi: 10.1109/FLEPS53764.2022.9781598)
Murali, P. K. , Wang, C., Dahiya, R. and Kaboli, M. (2022) Towards Robust 3D Object Recognition with Dense-to-Sparse Deep Domain Adaptation. In: 2022 IEEE International Conference on Flexible & Printable Sensors & Systems, Vienna, Austria, 10-13 Jul 2022, ISBN 9781665442732 (doi: 10.1109/FLEPS53764.2022.9781490)
Murali, P. K. , Gentner, M. and Kaboli, M. (2021) Active Visuo-Tactile Point Cloud Registration for Accurate Pose Estimation of Objects in an Unknown Workspace. In: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Prague, Czech Republic, 27 Sept-1 Oct 2021, ISBN 9781665417150 (doi: 10.1109/IROS51168.2021.9636877)