44 citations · 56 across the 7 of their papers we have counts for
9 papers · 1 filter
Robot Goes Fishing: Rapid, High-Resolution Biological Hotspot Mapping in Coral Reefs with Vision-Guided Autonomous Underwater Vehicles
Daniel Yang, Levi Cai, Stewart Jamieson +1
Coral reefs are fast-changing and complex ecosystems that are crucial to monitor and study. Biological hotspot detection can help coral reef managers prioritize limited resources f…
CUREE: A Curious Underwater Robot for Ecosystem Exploration
Yogesh Girdhar, Nathan McGuire, Levi Cai +6
The current approach to exploring and monitoring complex underwater ecosystems, such as coral reefs, is to conduct surveys using diver-held or static cameras, or deploying sensor b…
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…
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…