Benchmarking classification techniques using the Opportunity human activity dataset. - Hesam Sagha; Sundara Tejaswi Digumarti; José del R. Millán; Ricardo Chavarriaga; Alberto Calatroni; Daniel Roggen; Gerhard Tröster (SMC, 2011)

Design and Implementation of a Smart Wheelchair. - Amit Ranjan Trivedi; Abhash Kumar Singh; Sundara Tejaswi Digumarti; Deepak Fulwani; Swagat Kumar (AIR, 2013)

The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition. - Ricardo Chavarriaga; Hesam Sagha; Alberto Calatroni; Sundara Tejaswi Digumarti; Gerhard Tröster; José del R. Millán; Daniel Roggen (Pattern Recognit. Lett., 2013)

Rendezvous with bearing-only information and limited sensing range. - Maximilian Kriegleder; Sundara Tejaswi Digumarti; Raymond Oung; Raffaello D'Andrea (ICRA, 2015)

Pixelbots 2014. - Sundara Tejaswi Digumarti; Javier Alonso-Mora; Roland Siegwart; Paul A. Beardsley (SIGGRAPH Art Gallery, 2016)

Underwater 3D capture using a low-cost commercial depth camera. - Sundara Tejaswi Digumarti; Gaurav Chaurasia; Aparna Taneja; Roland Siegwart; Amber Thomas; Paul A. Beardsley (WACV, 2016)

Automatic Segmentation of Tree Structure From Point Cloud Data. - Sundara Tejaswi Digumarti; Juan I. Nieto 001; Cesar Cadena 001; Roland Siegwart; Paul A. Beardsley (IEEE Robotics Autom. Lett., 2018)

An Approach for Semantic Segmentation of Tree-like Vegetation. - Sundara Tejaswi Digumarti; Lukas Maximilian Schmid 001; Giuseppe Maria Rizzi; Juan I. Nieto 001; Roland Siegwart; Paul A. Beardsley; Cesar Cadena 001 (ICRA, 2019)

Semantic Segmentation and Mapping for Natural Environments. - Sundara Tejaswi Digumarti (2019)

Unsupervised Learning of Depth Estimation and Visual Odometry for Sparse Light Field Cameras. - Sundara Tejaswi Digumarti; Joseph Daniel; Ahalya Ravendran; Ryan Griffiths; Donald G. Dansereau (IROS, 2021)

Fast-Learning Grasping and Pre-Grasping via Clutter Quantization and Q-map Masking. - Dafa Ren; Xiaoqiang Ren; Xiaofan Wang 001; Sundara Tejaswi Digumarti; Guodong Shi (IROS, 2021)

Unsupervised Learning of Depth Estimation and Visual Odometry for Sparse Light Field Cameras. - Sundara Tejaswi Digumarti; Joseph Daniel; Ahalya Ravendran; Donald G. Dansereau (CoRR, 2021)

3D Lidar Reconstruction with Probabilistic Depth Completion for Robotic Navigation. - Yifu Tao; Marija Popovic; Yiduo Wang 001; Sundara Tejaswi Digumarti; Nived Chebrolu; Maurice F. Fallon (IROS, 2022)

Towards real-time forest inventory using handheld LiDAR. - Alexander Proudman; Milad Ramezani; Sundara Tejaswi Digumarti; Nived Chebrolu; Maurice F. Fallon (Robotics Auton. Syst., 2022)

Strategies for large scale elastic and semantic LiDAR reconstruction. - Yiduo Wang 001; Milad Ramezani; Matías Mattamala; Sundara Tejaswi Digumarti; Maurice F. Fallon (Robotics Auton. Syst., 2022)

InstaLoc: One-shot Global Lidar Localisation in Indoor Environments through Instance Learning. - Lintong Zhang; Sundara Tejaswi Digumarti; Georgi Tinchev; Maurice F. Fallon (Robotics: Science and Systems, 2023)