Avinash Ummadisingu

Publications

• SAID-NeRF: Segmentation-AIDed NeRF for Depth Completion of Transparent Objects
  Avinash Ummadisingu, Jongkeum Choi, Koki Yamane, Shimpei Masuda, Naoki Fukaya, Kuniyuki Takahashi
  IROS 2024
  paper
• Precise Well-plate Placing Utilizing Contact During Sliding with Tactile-based Pose Estimation for Laboratory Automation
  Sameer Pai, Kuniyuki Takahashi, Shimpei Masuda, Naoki Fukaya, Koki Yamane, Avinash Ummadisingu
  IROS 2024
  paper
• Two-fingered Hand with Gear-type Synchronization Mechanism with Magnet for Improved Small and Offset Objects Grasping: F2 Hand
  Naoki Fukaya, Avinash Ummadisingu, Kuniyuki Takahashi, Guilherme Maeda, Shin-ichi Maeda
  IROS 2023
  paper
• F3 Hand: A Versatile Robot Hand Inspired by Human Thumb and Index Fingers
  Naoki Fukaya, Avinash Ummadisingu, Guilherme Maeda, Shin-ichi Maeda
  IEEE RO-MAN 2022
  paper
• Cluttered Food Grasping with Adaptive Fingers and Synthetic-Data Trained Object Detection
  Avinash Ummadisingu, Kuniyuki Takahashi, Naoki Fukaya
  ICRA 2022
  paper
• Target-mass Grasping of Entangled Food using Pre-grasping & Post-grasping
  Kuniyuki Takahashi, Naoki Fukaya, Avinash Ummadisingu
  IEEE RAL + ICRA 2022
  paper
• Uncertainty-aware Self-supervised Target-mass Grasping of Granular Foods
  Kuniyuki Takahashi, Wilson Ko, Avinash Ummadisingu, Shin-ichi Maeda
  ICRA 2021
  paper arXiv
• Reinforcement Learning in Sparse-Reward Environments With Hindsight Policy Gradients
  Paulo Rauber, Avinash Ummadisingu, Filipe Mutz, Juergen Schmidhuber
  Neural Computation 2021
  paper
• The minerl 2020 competition on sample efficient reinforcement learning using human priors
  William H. Guss, Mario Ynocente Castro, Sam Devlin, Brandon Houghton, Noboru Sean Kuno, Crissman Loomis, Stephanie Milani, Sharada Mohanty, Keisuke Nakata, Ruslan Salakhutdinov, John Schulman, Shinya Shiroshita, Nicholay Topin, Avinash Ummadisingu, Oriol Vinyals
  NeurIPS 2021
  paper
• Distributed Reinforcement Learning of Targeted Grasping with Active Vision for Mobile Manipulators
  Yasuhiro Fujita, Kota Uenishi, Avinash Ummadisingu, Prabhat Nagarajan, Shimpei Masuda, Mario Ynocente Castro
  IROS 2020
  paper
• Improving Sample Efficiency in Hindsight Policy Gradient Using Actor-Critic Architectures
  Master's Thesis, 2018
  Università della Svizzera italiana
  pdf
• Hindsight Policy Gradients
  Paulo Rauber, Avinash Ummadisingu, Filipe Mutz, Juergen Schmidhuber
  ICLR 2019
  paper code website
• ABCpy: A High-Performance Computing Perspective to Approximate Bayesian Computation
  Ritabrata Dutta, Marcel Schoengens, Avinash Ummadisingu, Jukka-Pekka Onnela, Antonietta Mira
  Journal of Statistical Software
  paper code

Research Videos

Open Source & Community

• PFRL Maintainer: One of the maintainers of the popular Deep RL Library PFRL (Formerly ChainerRL)
• Technical Blog: Blog posts for Preferred Networks can be found here
• Conference Service: NeurIPS Deep RL Workshop Program Committee (2021, 2022)
• Competition Organizer: Part of the team organizing the MineRL competition (2019, 2020) and provided implementation baselines