132 citations · 214 across the 4 of their papers we have counts for
6 papers
Robot Navigation in Constrained Pedestrian Environments using Reinforcement Learning
Claudia Pérez-D'Arpino, Can Liu, Patrick Goebel +2
Navigating fluently around pedestrians is a necessary capability for mobile robots deployed in human environments, such as buildings and homes. While research on social navigation…
JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset
Abhijeet Shenoi, Mihir Patel, JunYoung Gwak +5
Robots navigating autonomously need to perceive and track the motion of objects and other agents in its surroundings. This information enables planning and executing robust and saf…
JRDB: A Dataset and Benchmark of Egocentric Robot Visual Perception of Humans in Built Environments
Roberto Martín-Martín, Mihir Patel, Hamid Rezatofighi +5
We present JRDB, a novel egocentric dataset collected from our social mobile manipulator JackRabbot. The dataset includes 64 minutes of annotated multimodal sensor data including s…
Deep Local Trajectory Replanning and Control for Robot Navigation
Ashwini Pokle, Roberto Martín-Martín, Patrick Goebel +8
We present a navigation system that combines ideas from hierarchical planning and machine learning. The system uses a traditional global planner to compute optimal paths towards a…
GONet: A Semi-Supervised Deep Learning Approach For Traversability Estimation
Noriaki Hirose, Amir Sadeghian, Marynel Vázquez +2
We present semi-supervised deep learning approaches for traversability estimation from fisheye images. Our method, GONet, and the proposed extensions leverage Generative Adversaria…
To Go or Not To Go? A Near Unsupervised Learning Approach For Robot Navigation
Noriaki Hirose, Amir Sadeghian, Patrick Goebel +1
It is important for robots to be able to decide whether they can go through a space or not, as they navigate through a dynamic environment. This capability can help them avoid inju…