Pratik Ingle
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Pratik Ingle

Pratik Ingle

Pratik is a robotics researcher working on grasp-free manipulation: moving objects by shaping and controlling soft, modular surfaces instead of gripping them. He is a PhD candidate at the IT University of Copenhagen (REAL Lab) and is currently a visiting researcher at University College London working on tactile sensing and self-supervised learning.

  • Papers → Google Scholar or CV
  • Talks → See list
  • Research → Overview
  • Projects → Portfolio
  • Blog → Notes and tutorials
  • Code → GitHub

Recent: Our paper on scalable, distributed control of a manipulation surface was accepted at SAB 2026, and two more (ICRA 2027 and an IJRR survey) are under review. Since March 2026 I have been a visiting researcher at UCL’s CRISP Lab working on tactile sensing and self-supervised learning. PhD defence expected October 2026.

Publications

Full list on Google Scholar and the research page.

  • Under review: Suspended-Fabric Robotic Manipulation Surfaces: Modelling, Design Space, and Multimodular Extension - IEEE ICRA 2027.
  • Under review: Survey of Robotic Manipulation Surfaces: Challenges and Opportunities - International Journal of Robotics Research.
  • 2026: Scalable, Distributed Control of a Manipulation Surface with Emergent Properties - SAB 2026 (Simulation of Adaptive Behavior), Germany.
  • 2026: Scalable Surface-Based Manipulation Through Modularity and Inter-Module Object Transfer - with J. Lambertsen, K. Støy, A. Faíña. arXiv:2601.21884. Explainer post.
  • 2025: Heterogeneous Object Manipulation on Nonlinear Soft Surface Through Linear Controller - IEEE CASE 2025. Explainer post.
  • 2025: Soft Manipulation Surface With Reduced Actuator Density For Heterogeneous Object Manipulation - IEEE RoboSoft 2025, oral presentation. Explainer post.
  • 2024: Moving Depot (MOD): An Efficient Depot Motion Strategy for Multi-Robot Foraging - ANTS 2024, Germany.

Talks

  • RoboSoft 2026 - Scalable Surface-Based Manipulation Through Modularity and Inter-Module Object Transfer.
  • CASE 2025 - Heterogeneous object manipulation on nonlinear soft surface through linear controller.
  • RoboSoft 2025 - Soft Manipulation Surface With Reduced Actuator Density For Heterogeneous Object Manipulation.
  • EI 2025 - Harnessing Fabric Softness and Scalability for Object Manipulation.
  • ANTS 2024 - Moving Depot (MOD): An Efficient Depot Motion Strategy for Multi-Robot Foraging.

Research

I work on robotic manipulation surfaces: soft, fabric-based platforms driven by sparse actuators that move heterogeneous and fragile objects without grasping. Current threads:

  • Soft manipulation surfaces - reduced actuator density, geometric control, heterogeneous objects.
  • Modular manipulation - shared-boundary actuation and inter-module object transfer.
  • Tactile sensing - MAE/JEPA representation learning on normal and shear tactile channels, MuJoCo sensor simulation (UCL CRISP Lab).
  • Earlier: swarm robotics, multi-robot foraging, and collective decision-making.

Experience

  • REAL Lab, IT University of Copenhagen - PhD researcher, Oct 2023–present. Supervisors: Kasper Støy and Andrés Faíña.
  • CRISP Lab, University College London - Visiting researcher, Mar 2026–present. Host: Lorenzo Jamone.
  • Swarm Lab, NJIT and MOON Lab, IISER Bhopal - collective behaviour modelling, swarm robotics, UAVs (2020–2023).
  • IISER Bhopal - Integrated BS-MS, Electrical Engineering and Computer Science, minor in Data Science, 2017–2023.

Selected Projects

See the full portfolio.

  • Moving Depot (MOD) - adaptive depot motion for multi-robot foraging (ANTS 2024).
  • Decision making in collectives - dynamic individual memory and consensus in changing environments.
  • Influencer agents with quantum circuits - leader selection for flock control.
  • UVC disinfection UAV - autonomous aerial robot built during COVID-19.

Writing

Recent posts from the blog.

  • MAE vs JEPA - two ways to learn representations without labels.
  • Normal and shear forces in tactile sensing - why 3-channel tactile sensors matter.
  • Simulating a tactile sensor in MuJoCo - notes on sim-based data collection.
  • Getting started with Webots - a beginner tutorial.
  • VQE from scratch - finding the ground-state energy of a Hamiltonian.

Teaching and Service

  • Teaching assistant: Deep Learning, Intelligent Robotics, Computer Vision, Digital Image Processing and Bioimage Analysis (ITU).
  • Volunteer: ALIFE 2024, NeurIPS 2021.
  • Summer schools: IEEE RAS Multi-Robot Systems (2024), SCIoI/ISAB Embodied Intelligence (2023), COSMOS (2022), PRAIRIE/MIAI AI (2021).

Other

  • Contact - prin@itu.dk.
  • CV - PDF and overview.
  • Google Scholar · GitHub · LinkedIn
Copyright 2026, Pratik Ingle. Text and images licensed CC-BY-NC 4.0 unless noted.