44 citations · 56 across the 7 of their papers we have counts for
10 papers
Multi-Robot Distributed Semantic Mapping in Unfamiliar Environments through Online Matching of Learned Representations
Stewart Jamieson, Kaveh Fathian, Kasra Khosoussi +2
We present a solution to multi-robot distributed semantic mapping of novel and unfamiliar environments. Most state-of-the-art semantic mapping systems are based on supervised learn…
Seeing Through your Skin: Recognizing Objects with a Novel Visuotactile Sensor
Francois Robert Hogan, Michael Jenkin, Sahand Rezaei-Shoshtari +3
We introduce a new class of vision-based sensor and associated algorithmic processes that combine visual imaging with high-resolution tactile sending, all in a uniform hardware and…
Gaussian-Dirichlet Random Fields for Inference over High Dimensional Categorical Observations
John E. San Soucie, Heidi M. Sosik, Yogesh Girdhar
We propose a generative model for the spatio-temporal distribution of high dimensional categorical observations. These are commonly produced by robots equipped with an imaging sens…
Active Reward Learning for Co-Robotic Vision Based Exploration in Bandwidth Limited Environments
Stewart Jamieson, Jonathan P. How, Yogesh Girdhar
We present a novel POMDP problem formulation for a robot that must autonomously decide where to go to collect new and scientifically relevant images given a limited ability to comm…
Information-Guided Robotic Maximum Seek-and-Sample in Partially Observable Continuous Environments
Genevieve Flaspohler, Victoria Preston, Anna P. M. Michel +2
We present PLUMES, a planner to localizing and collecting samples at the global maximum of an a priori unknown and partially observable continuous environment. The "maximum-seek-an…
Streaming Scene Maps for Co-Robotic Exploration in Bandwidth Limited Environments
Yogesh Girdhar, Levi Cai, Stewart Jamieson +4
This paper proposes a bandwidth tunable technique for real-time probabilistic scene modeling and mapping to enable co-robotic exploration in communication constrained environments…