LabCompass

Durgakant Pushp

Engineering · Indiana University

OpenAlex
Robotics and Sensor-Based LocalizationMultimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot LearningRobotic Path Planning AlgorithmsHuman Pose and Action Recognition

Publications

29

Citations

43

Est. group size

—

Recurring co-author estimate

Active years

8

Publishing since 2019

Research summary
AI-generated

Durgakant Pushp works in robotics and autonomous systems, focusing on how robots and drones can perceive their surroundings, decide where they can safely travel, and navigate using camera images rather than pre-built maps. The research also covers coordinating multiple robots and adapting perception systems to work reliably in new, unfamiliar environments. Recent projects include small ground vehicles deployable by drones, autonomous racing control, and vision-based navigation methods.

Vision-based robot navigationTraversability and terrain analysisDomain adaptation for perceptionMulti-agent and drone coordinationAutonomous ground and aerial vehicles

Publication activity has grown from occasional papers in 2019 to a steady output of roughly four to six per year since 2022.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 5.2/year recently
17182019: 2 publications19202021: 1 publication212022: 6 publications6222023: 6 publications6232024: 4 publications242025: 4 publications252026: 6 publications626
Recent publications
Publishes in
  • arXiv (Cornell University)×15
  • Springer proceedings in advanced robotics×2
  • 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)×1
  • Autonomous Robots×1
  • Research Square×1

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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