23 citations · 47 across the 5 of their papers we have counts for
5 papers
Multiple-Hypothesis Path Planning with Uncertain Object Detections
Brian H. Wang, Beatriz Asfora, Rachel Zheng +3
Path planning in obstacle-dense environments is a key challenge in robotics, and depends on inferring scene attributes and associated uncertainties. We present a multiple-hypothesi…
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…
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…
Embedded Computer Vision System Applied to a Four-Legged Line Follower Robot
Beatriz Arruda Asfora
Robotics can be defined as the connection of perception to action. Taking this further, this project aims to drive a robot using an automated computer vision embedded system, conne…
Mixed-Integer Linear Programming Models for Multi-Robot Non-Adversarial Search
Beatriz A. Asfora, Jacopo Banfi, Mark Campbell
In this letter, we consider the Multi-Robot Efficient Search Path Planning (MESPP) problem, where a team of robots is deployed in a graph-represented environment to capture a movin…