Jekyll2026-01-17T23:33:11-08:00https://lakshadeep.github.io/feed.xmlLakshadeep NaikPostdoctoral researcher at University of Southern Denmark (SDU)Lakshadeep Naiklakshadeep.naik[at]gmail.comI joined KTH2025-01-09T00:00:00-08:002025-01-09T00:00:00-08:00https://lakshadeep.github.io/posts/2025/01/start-at-kthI moved to Stockholm, Sweden, to join the Division of Robotics, Perception and Learning (RPL) at KTH Royal Institute of Technology as a postdoctoral researcher, where I’m working under the supervision of Professor Danica Kragic.

KTH

]]>Lakshadeep Naiklakshadeep.naik[at]gmail.comBest Mobile Manipulation paper finalist at IROS 20242024-10-16T00:00:00-07:002024-10-16T00:00:00-07:00https://lakshadeep.github.io/posts/2024/10/iros-best-mm-paper-finalistOur paper BaSeNet was among the 5 finalists for the best Mobile Manipulation paper award at the IEEE/RSJ Intelligent Conference on Robot and Intelligent Systems (IROS) 2024.

PhD defense presentation

More details about our work can be found here

Recommended citation: L. Naik, S. Kalkan, S. L. Sørensen, M. B. Kjærgaard, and N. Krüger, “Basenet: A learning-based mobile manipulator base pose sequence planning for pickup tasks,” in 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (Accepted), 2024.

]]>Lakshadeep Naiklakshadeep.naik[at]gmail.comSuccessfully defended my PhD thesis2024-09-24T00:00:00-07:002024-09-24T00:00:00-07:00https://lakshadeep.github.io/posts/2024/9/phd-defendedI successfully defended my PhD thesis titled “Pre-grasp planning for time-efficient and robust mobile manipulation” on 20 September 2024.

PhD defense presentation

The thesis was evaluated by Justus Piater, Dirk Kraft and Dimitrios Chrysostomou

Congratulation

The thesis can be read here.

Supervisors and evaluation committee

]]>Lakshadeep Naiklakshadeep.naik[at]gmail.comPaper accepted at IROS 20242024-06-30T00:00:00-07:002024-06-30T00:00:00-07:00https://lakshadeep.github.io/posts/2024/06/iros-paperOur paper “BaSeNet “ has been accepted for publication in 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

More details about our work can be found here

Recommended citation: L. Naik, S. Kalkan, S. L. Sørensen, M. B. Kjærgaard, and N. Krüger, “Basenet: A learning-based mobile manipulator base pose sequence planning for pickup tasks,” in 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (Accepted), 2024.

]]>Lakshadeep Naiklakshadeep.naik[at]gmail.comPaper accepted for publication in IEEE RAL2024-01-08T00:00:00-08:002024-01-08T00:00:00-08:00https://lakshadeep.github.io/posts/2024/01/ral-paperOur research on pre-grasp approaching on mobile robots has been accepted for publication in the IEEE Robotics and Automation Letters (RA-L) Journal.

This work was carried out in collaboration with Prof. Sinan Kalkan from Middle East Technical University (METU), Ankara, Turkey and my PhD supervisor Prof. Norbert Krüger.

More details about our work can be found here

Recommended citation: Naik, L., Kalkan, S., & Krüger, N. (Accepted). Pre-grasp approaching on mobile robots: a pre-active layered approach. IEEE Robotics and Automation Letters (Accepted)

Supplementary video:

]]>Lakshadeep Naiklakshadeep.naik[at]gmail.comConclusion of the FacilityCobot Project2023-11-01T00:00:00-07:002023-11-01T00:00:00-07:00https://lakshadeep.github.io/posts/2023/11/end-of-facilitycobotThe FacilityCobot project has officially concluded. This project marked my initial foray into the field of Mobile Manipulation. My PhD research was mostly funded throught this project.

Our research throughout the FacilityCobot project were dedicated to enhancing the time efficiency of Mobile Manipulation while concurrently minimizing failures. Further insights into our research can be explored through the following links:

Multi-view object pose distribution tracking

Pre-grasp approaching

A comprehensive overview of various components developed during the project, particularly in the context of the table clearing application, can be witnessed in the video below.

]]>Lakshadeep Naiklakshadeep.naik[at]gmail.comVisiting PhD student at METU2023-02-01T00:00:00-08:002023-02-01T00:00:00-08:00https://lakshadeep.github.io/posts/2023/2/metu-visiting-researcherI spent January 2023 at Middle East Technical University (METU) in Ankara, Turkey, as a visiting PhD student. During this period, I collaborated with Prof. Sinan Kalkan to address the challenge of optimizing the time-efficiency of Mobile Manipulation.

Our focus was on identifying a suitable base pose and pre-grasp manipulator configuration to improve the time-efficiency of grasping on mobile robots.

More details about our research can be found here

METU

]]>Lakshadeep Naiklakshadeep.naik[at]gmail.comConclusion of the ReThiCare project2022-12-31T00:00:00-08:002022-12-31T00:00:00-08:00https://lakshadeep.github.io/posts/2022/12/end-of-rethicareThe ReThicare project has officially concluded.

This was my very first experience working with an interdisciplinary team comprising socialists, roboticists, and human-computer interaction researchers.

The experience of collaborating within such a multifaceted team was truly unique. Setting objectives and aligning them with each other’s expectations presented an exciting challenge. I was part of the Plant Watering Robot (PWR) team wherein we developed a proof of concept to investigate the use of distributed agency on mobile care robots.

PWR

More details about our work can be found in the following publications:

Graf, G., Lefeuvre, K., Palinko, O., Naik, L., Zarp, C. S., Bischof, A., … & Krüger, N. (2022). Fostering Well-being in Care with the Nautical Designed Plant Watering Robot. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (pp. 255-261).

Palinko, O., Graf, P., Naik, L., Lefeuvre, K., Zarp, C. S., & Krüger, N. (2021, November). Intention Signaling for Mobile Social Service Robots-The Example of Plant Watering. In International Conference on Social Robotics (pp. 797-802). Springer, Cham.

]]>Lakshadeep Naiklakshadeep.naik[at]gmail.comNordic Probabilistic AI Summer school2022-06-13T00:00:00-07:002022-06-13T00:00:00-07:00https://lakshadeep.github.io/posts/2022/06/prob-ai-schoolI attended Nordic Probabilistic AI Summer School in Helsinki, Finland.

The primary emphasis of this school was on Probabilistic Machine Learning, with a focus on topics such as variational approximations, deep generative models, latent variable models, normalizing flows, neural ODEs, and probabilistic programming.

ProbAI 2022

]]>Lakshadeep Naiklakshadeep.naik[at]gmail.comOutstanding manipulation paper finalist at ICRA 20222022-04-30T00:00:00-07:002022-04-30T00:00:00-07:00https://lakshadeep.github.io/posts/2022/04/icra22-finalistOur ICRA 2022 paper “Multi-view object pose distribution tracking for pre-grasp planning on mobile robots” is among the 3 finalists for the outstanding manipulation paper award.

Check out this short presentation video!

More details about the work can be found here

Recommended citation: Naik, L., Iversen, T. M., Kramberger, A., Wilm, J., & Krüger, N. (Accepted/In press). Multi-view object pose distribution tracking for pre-grasp planning on mobile robots. In 2022 IEEE International Conference on Robotics and Automation (ICRA) IEEE.

]]>Lakshadeep Naiklakshadeep.naik[at]gmail.com