18 citations · 30 across the 7 of their papers we have counts for
9 papers
Social Navigation for Tour-guide Robot
Vikram Shree, Jose Nino
We propose a force-based model for social navigation of a tour-guide robot. Social forces due to various factors like obstacles, user position and heading, have been accounted for…
Two-Stage Extrinsic Calibration of a Static Line-Scanning Lidar with a Rotary Platform
Vikram Shree, Hike Danakian, Long Nguyen +2
A line-scanning lidar yields range and azimuth values in a fixed plane. To perceive surrounding objects in 3D, there must be relative motion between the lidar plane and the object.…
Learning to Assess Danger from Movies for Cooperative Escape Planning in Hazardous Environments
Vikram Shree, Sarah Allen, Beatriz Asfora +2
There has been a plethora of work towards improving robot perception and navigation, yet their application in hazardous environments, like during a fire or an earthquake, is still…
Orientation-Discriminative Feature Representation for Decentralized Pedestrian Tracking
Vikram Shree, Carlos Diaz-Ruiz, Chang Liu +2
This paper focuses on the problem of decentralized pedestrian tracking using a sensor network. Traditional works on pedestrian tracking usually use a centralized framework, which b…
Accelerated consensus in multi-agent networks via memory of local averages
Aditya Bhaskar, Shriya Rangarajan, Vikram Shree +2
Classical mathematical models of information sharing and updating in multi-agent networks use linear operators. In the paradigmatic DeGroot model, agents update their states with l…
Exploiting Natural Language for Efficient Risk-Aware Multi-robot SaR Planning
Vikram Shree, Beatriz Asfora, Rachel Zheng +3
The ability to develop a high-level understanding of a scene, such as perceiving danger levels, can prove valuable in planning multi-robot search and rescue (SaR) missions. In this…
Interactive Natural Language-based Person Search
Vikram Shree, Wei-Lun Chao, Mark Campbell
In this work, we consider the problem of searching people in an unconstrained environment, with natural language descriptions. Specifically, we study how to systematically design a…
An Empirical Study of Person Re-Identification with Attributes
Vikram Shree, Wei-Lun Chao, Mark Campbell
Person re-identification aims to identify a person from an image collection, given one image of that person as the query. There is, however, a plethora of real-life scenarios where…
RFM-SLAM: Exploiting Relative Feature Measurements to Separate Orientation and Position Estimation in SLAM
Saurav Agarwal, Vikram Shree, Suman Chakravorty
The SLAM problem is known to have a special property that when robot orientation is known, estimating the history of robot poses and feature locations can be posed as a standard li…