activity
20202024
most citedEfficient and Accurate Candidate Generation for Grasp Pose Detection in SE(3)

7 citations · 8 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2024★ 1 cited

Towards Long Term SLAM on Thermal Imagery

Colin Keil, Aniket Gupta, Pushyami Kaveti +1

Visual SLAM with thermal imagery, and other low contrast visually degraded environments such as underwater, or in areas dominated by snow and ice, remain a difficult problem for ma…

cs.RO2023

Challenges of Indoor SLAM: A multi-modal multi-floor dataset for SLAM evaluation

Pushyami Kaveti, Aniket Gupta, Dennis Giaya +5

Robustness in Simultaneous Localization and Mapping (SLAM) remains one of the key challenges for the real-world deployment of autonomous systems. SLAM research has seen significant…

cs.RO2023

Team Northeastern's Approach to ANA XPRIZE Avatar Final Testing: A Holistic Approach to Telepresence and Lessons Learned

Rui Luo, Chunpeng Wang, Colin Keil +7

This paper reports on Team Northeastern's Avatar system for telepresence, and our holistic approach to meet the ANA Avatar XPRIZE Final testing task requirements. The system featur…

cs.RO2022★ 7 cited

Efficient and Accurate Candidate Generation for Grasp Pose Detection in SE(3)

Andreas ten Pas, Colin Keil, Robert Platt

Grasp detection of novel objects in unstructured environments is a key capability in robotic manipulation. For 2D grasp detection problems where grasps are assumed to lie in the pl…

cs.RO2020

Learning Bayes Filter Models for Tactile Localization

Tarik Kelestemur, Colin Keil, John P. Whitney +2

Localizing and tracking the pose of robotic grippers are necessary skills for manipulation tasks. However, the manipulators with imprecise kinematic models (e.g. low-cost arms) or…