26 citations · 30 across the 6 of their papers we have counts for
6 papers
Instance-Agnostic Geometry and Contact Dynamics Learning
Mengti Sun, Bowen Jiang, Bibit Bianchini +2
This work presents an instance-agnostic learning framework that fuses vision with dynamics to simultaneously learn shape, pose trajectories, and physical properties via the use of…
Enabling Large-scale Heterogeneous Collaboration with Opportunistic Communications
Fernando Cladera, Zachary Ravichandran, Ian D. Miller +3
Multi-robot collaboration in large-scale environments with limited-sized teams and without external infrastructure is challenging, since the software framework required to support…
EV-Catcher: High-Speed Object Catching Using Low-latency Event-based Neural Networks
Ziyun Wang, Fernando Cladera Ojeda, Anthony Bisulco +6
Event-based sensors have recently drawn increasing interest in robotic perception due to their lower latency, higher dynamic range, and lower bandwidth requirements compared to sta…
Stronger Together: Air-Ground Robotic Collaboration Using Semantics
Ian D. Miller, Fernando Cladera, Trey Smith +2
In this work, we present an end-to-end heterogeneous multi-robot system framework where ground robots are able to localize, plan, and navigate in a semantic map created in real tim…
Fast Footstep Planning on Uneven Terrain Using Deep Sequential Models
Hersh Sanghvi, Camillo Jose Taylor
One of the fundamental challenges in realizing the potential of legged robots is generating plans to traverse challenging terrains. Control actions must be carefully selected so th…
DFuseNet: Deep Fusion of RGB and Sparse Depth Information for Image Guided Dense Depth Completion
Shreyas S. Shivakumar, Ty Nguyen, Ian D. Miller +3
In this paper we propose a convolutional neural network that is designed to upsample a series of sparse range measurements based on the contextual cues gleaned from a high resoluti…