7 citations · 7 across the 2 of their papers we have counts for
7 papers · 1 filter
Learning active tactile perception through belief-space control
Jean-François Tremblay, David Meger, Francois Hogan +1
Robots operating in an open world will encounter novel objects with unknown physical properties, such as mass, friction, or size. These robots will need to sense these properties t…
CARTIER: Cartographic lAnguage Reasoning Targeted at Instruction Execution for Robots
Dmitriy Rivkin, Nikhil Kakodkar, Francois Hogan +2
This work explores the capacity of large language models (LLMs) to address problems at the intersection of spatial planning and natural language interfaces for navigation. We focus…
ANSEL Photobot: A Robot Event Photographer with Semantic Intelligence
Dmitriy Rivkin, Gregory Dudek, Nikhil Kakodkar +4
Our work examines the way in which large language models can be used for robotic planning and sampling, specifically the context of automated photographic documentation. Specifical…
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…
A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects
Anthony Simeonov, Yilun Du, Beomjoon Kim +4
We present a framework for solving long-horizon planning problems involving manipulation of rigid objects that operates directly from a point-cloud observation, i.e. without prior…
Tactile Dexterity: Manipulation Primitives with Tactile Feedback
Francois R. Hogan, Jose Ballester, Siyuan Dong +1
This paper develops closed-loop tactile controllers for dexterous robotic manipulation with a dual-palm robotic system. Tactile dexterity is an approach to dexterous manipulation t…