Akash Kumbar
Akash Kumbar

Robots rarely see the world as a whole. They piece it together from images, point clouds, and imperfect sensor measurements, yet must somehow make sense of it and decide what to do next. I’m interested in that space between perception and action, where geometry, understanding, and autonomy come together.

I’m Akash Kumbar, an M.S. by Research student and Graduate Student Researcher at the Robotics Research Center, IIIT Hyderabad, advised by Prof. Madhava Krishna.

My research explores how robots reconstruct, interpret, and navigate their surroundings, with work spanning 3D scene reconstruction, sensor calibration, and autonomous exploration. This work has found its way to ICCV and IROS, including a Best Paper Award at an IROS 2026 workshop. I also contribute to teaching and peer review, both of which give me opportunities to share what I know and engage with ideas beyond my own research.

Before IIIT Hyderabad, I studied Electronics and Communication Engineering at KLE Technological University, where I worked on point-cloud upsampling at the Center of Excellence in Visual Intelligence.

Outside research, I train in mixed martial arts, hold a black belt in karate, and run marathons.

Updates

Research

* indicates equal contribution

Beyond Frontiers preview Beyond Frontiers: Scene-Anomaly Guided Autonomous Exploration

Akash Kumbar, Abhinav Raundhal, Madhava Krishna
Proceedings of the 2026 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2026)
πŸ† Best Paper Award, Learning Across Navigation Fields Workshop, IROS 2026
Project Page  •   ArXiv

Dynamic Urban Scene Rendering preview Leveraging 2D Priors and SDF Guidance for Dynamic Urban Scene Rendering

Siddharth Tourani, Jayaram Reddy, Akash Kumbar, Satyajit Tourani, Nishant Goyal, Madhava Krishna, N Dinesh Reddy, Muhammad Haris Khan
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025
Project Page  •   Proceedings  •   ArXiv

TP-NoDe preview TP-NoDe: Topology-Aware Progressive Noising and Denoising of Point Clouds Towards Upsampling

Akash Kumbar*, Tejas Anvekar*, Tulasi Amitha Vikrama, Ramesh Ashok Tabib, Uma Mudenagudi
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2023
Proceedings

ASUR3D preview ASUR3D: Arbitrary Scale Upsampling and Refinement of 3D Point Clouds Using Local Occupancy Fields

Akash Kumbar, Tejas Anvekar, Ramesh Ashok Tabib, Uma Mudenagudi
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2023
Proceedings

Awards & Achievements

Best Paper Award

Sep 2026

Learning Across Navigation Fields: Challenges and Future Work, IROS 2026 Workshop

For Beyond Frontiers: Scene-Anomaly Guided Autonomous Exploration (project page)

Certificate of Appreciation

Bosch PRIXEL Program, Bosch Global Software Technologies

For developing a robust, real-time computer-vision model for speed-breaker and pothole detection (project page)

Teaching & Service

Teaching Assistant, Mobile Robotics, IIIT Hyderabad, Monsoon 2026

Mentoring students, supporting course instruction, designing projects and assignments, and grading coursework.

Instructor, RRC Summer School, IIIT Hyderabad, 2025 and 2026

Taught deep learning for 3D vision, neural representations, and explicit scene representations, including 3D Gaussian Splatting. 2026 lecture

Reviewer, ICVGIP 2026

Reviewing submissions for ICVGIP 2026.

Reviewer, SeMaNa: Semantic-Aware Mapping and Navigation, IROS 2026 Workshop

Reviewing submissions for the SeMaNa workshop at IROS 2026.

Projects

A selection of my work in computer vision, deep learning, and robotics.

View all projects β†’

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