24 citations
- Robotic Research (United States)US4 papers
- University of Colorado BoulderUS2 papers
- Australian Centre for Robotic VisionAU1 paper
- Australian National UniversityAU1 paper
- Banaras Hindu UniversityIN1 paper
- Golder Associates (United States)US1 paper
- Indian Institute of Science BangaloreIN1 paper
- Indian Institute of Technology BHUIN1 paper
- Linköping UniversitySE1 paper
- Morristown Medical CenterUS1 paper
- Moscow Institute of Thermal TechnologyRU1 paper
- Nantes UniversitéFR1 paper
11 papers
Drone-Assisted UAV-UGV Collaboration for Autonomous Navigation in Snow-Covered Terrain
Shreyam Gupta, P. Agrawal, Priyam Gupta +1
This paper presents a collaborative UAV-UGV navigation framework for high-altitude, snow-covered terrain, where reduced visibility and unstable ground render conventional methods i…
Learning-guided Prioritized Planning for Lifelong Multi-Agent Path Finding in Warehouse Automation
Han Zheng, Yining Ma, Brandon Araki +2
Lifelong Multi-Agent Path Finding (MAPF) is critical for modern warehouse automation, which requires multiple robots to continuously navigate conflict-free paths to optimize the ov…
RESPLE: Recursive Spline Estimation for LiDAR-Based Odometry
Ziyu Cao, William Talbot, Kailai Li
We present a novel recursive Bayesian estimation framework using B-splines for continuous-time 6-DoF dynamic motion estimation. The state vector consists of a recurrent set of posi…
Resolving Spatio-Temporal Entanglement in Video Prediction via Multi-Modal Attention
Shreyam Gupta, P. Agrawal, Priyam Gupta
The fast progress in computer vision has necessitated more advanced methods for temporal sequence modeling. This area is essential for the operation of autonomous systems, real-tim…
iA*: Imperative Learning-based A* Search for Path Planning
Xiangyu Chen, Fan Yang, Chen Wang
Path planning, which aims to find a collision-free path between two locations, is critical for numerous applications ranging from mobile robots to self-driving vehicles. Traditiona…
ArtPlanner: Robust Legged Robot Navigation in the Field
Lorenz Wellhausen, Marco Hutter
Due to the highly complex environment present during the DARPA Subterranean Challenge, all six funded teams relied on legged robots as part of their robotic team. Their unique loco…