activity
20192026
most citedPyPose: A Library for Robot Learning with Physics-based Optimization

36 citations · 70 across the 18 of their papers we have counts for

collaborators
Showing 2023Show all

8 papers · 1 filter

cs.RO2023

l-dyno: framework to learn consistent visual features using robot's motion

Kartikeya Singh, Charuvaran Adhivarahan, Karthik Dantu

Historically, feature-based approaches have been used extensively for camera-based robot perception tasks such as localization, mapping, tracking, and others. Several of these appr…

cs.RO2023

PyPose v0.6: The Imperative Programming Interface for Robotics

Zitong Zhan, Xiangfu Li, Qihang Li +33

PyPose is an open-source library for robot learning. It combines a learning-based approach with physics-based optimization, which enables seamless end-to-end robot learning. It has…

cs.CV2023★ 1 cited

DIOR: Dataset for Indoor-Outdoor Reidentification -- Long Range 3D/2D Skeleton Gait Collection Pipeline, Semi-Automated Gait Keypoint Labeling and Baseline Evaluation Methods

Yuyang Chen, Praveen Raj Masilamani, Bhavin Jawade +2

In recent times, there is an increased interest in the identification and re-identification of people at long distances, such as from rooftop cameras, UAV cameras, street cams, and…

cs.MA2023

Fast Decision Support for Air Traffic Management at Urban Air Mobility Vertiports using Graph Learning

Prajit KrisshnaKumar, Jhoel Witter, Steve Paul +3

Urban Air Mobility (UAM) promises a new dimension to decongested, safe, and fast travel in urban and suburban hubs. These UAM aircraft are conceived to operate from small airports…

cs.CV2023

Empir3D : A Framework for Multi-Dimensional Point Cloud Assessment

Yash Turkar, Pranay Meshram, Christo Aluckal +2

Advancements in sensors, algorithms, and compute hardware have made 3D perception feasible in real time. Current methods to compare and evaluate the quality of a 3D model, such as…

cs.CV2023★ 6 cited

You Only Crash Once: Improved Object Detection for Real-Time, Sim-to-Real Hazardous Terrain Detection and Classification for Autonomous Planetary Landings

Timothy Chase, Chris Gnam, John Crassidis +1

The detection of hazardous terrain during the planetary landing of spacecraft plays a critical role in assuring vehicle safety and mission success. A cheap and effective way of det…

cs.MA2023

Graph Learning Based Decision Support for Multi-Aircraft Take-Off and Landing at Urban Air Mobility Vertiports

Prajit KrisshnaKumar, Jhoel Witter, Steve Paul +2

Majority of aircraft under the Urban Air Mobility (UAM) concept are expected to be of the electric vertical takeoff and landing (eVTOL) vehicle type, which will operate out of vert…

cs.RO2023★ 4 cited

Design of an Adaptive Lightweight LiDAR to Decouple Robot-Camera Geometry

Yuyang Chen, Dingkang Wang, Lenworth Thomas +2

A fundamental challenge in robot perception is the coupling of the sensor pose and robot pose. This has led to research in active vision where robot pose is changed to reorient the…