• 326 Citations
  • 9 h-Index
20032020
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Fingerprint Dive into the research topics where SWAGAT KUMAR is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Robots Engineering & Materials Science
Cameras Engineering & Materials Science
Mobile robots Engineering & Materials Science
Inverse kinematics Engineering & Materials Science
Redundant manipulators Engineering & Materials Science
Warehouses Engineering & Materials Science
Manipulators Engineering & Materials Science
Controllers Engineering & Materials Science

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Research Output 2003 2019

  • 326 Citations
  • 9 h-Index
  • 23 Chapter
  • 11 Article
  • 9 Paper
  • 6 Conference proceeding (ISBN)

Adaptive Gaussian mixture-probability hypothesis density based multi sensor multi-target tracking

Shinde, C., Das, K., Lima, R., Vankadari, M. B. & Kumar, S., 1 Jun 2019, 2019 18th European Control Conference, ECC 2019. Institute of Electrical and Electronics Engineers Inc., p. 862-868 7 p. 8796014. (2019 18th European Control Conference, ECC 2019).

Research output: Chapter in Book/Report/Conference proceedingConference proceeding (ISBN)

Multi-target Tracking
Gaussian Mixture
Target tracking
Sensor networks
Fusion reactions

A deep framework for automatic annotation with application to retail warehouses

Mahajan, K., Majumder, A., Nanduri, H. & Kumar, S., 1 Jan 2019.

Research output: Contribution to conferencePaper

Warehouses
Robotics
Masks
Semantics
Personnel

Deep Capsule Network based Automatic Batch Code Identification Pipeline for a Real-life Industrial Application

Singh, C. K., Gangwar, V. K., Singh, H. V., Narain, K., Majumder, A. & Kumar, S., 19 Jul 2019, 2019 International Joint Conference on Neural Networks, IJCNN 2019. Institute of Electrical and Electronics Engineers Inc., 8852303. (Proceedings of the International Joint Conference on Neural Networks; vol. 2019-July).

Research output: Chapter in Book/Report/Conference proceedingConference proceeding (ISBN)

Character recognition
Industrial applications
Pipelines
Network architecture
Convolution
7 Citations (Scopus)
Directed graphs
Measurement errors
Multi agent systems
Topology
Robots

Look no deeper: Recognizing places from opposing viewpoints under varying scene appearance using single-view depth estimation

Garg, S., Babu, M. V., Dharmasiri, T., Hausler, S., Suenderhauf, N., Kumar, S., Drummond, T. & Milford, M., 1 May 2019, 2019 International Conference on Robotics and Automation, ICRA 2019. Institute of Electrical and Electronics Engineers Inc., p. 4916-4923 8 p. 8794178. (Proceedings - IEEE International Conference on Robotics and Automation; vol. 2019-May).

Research output: Chapter in Book/Report/Conference proceedingConference proceeding (ISBN)

Pipelines
Cameras
Sensors
Experiments

Projects 2019 2020