87 citations · 167 across the 17 of their papers we have counts for
8 papers · 2 filters
A Population-Level Analysis of Neural Dynamics in Robust Legged Robots
Eugene R. Rush, Christoffer Heckman, Kaushik Jayaram +1
Recurrent neural network-based reinforcement learning systems are capable of complex motor control tasks such as locomotion and manipulation, however, much of their underlying mech…
Tell Me Where to Go: A Composable Framework for Context-Aware Embodied Robot Navigation
Harel Biggie, Ajay Narasimha Mopidevi, Dusty Woods +1
Humans have the remarkable ability to navigate through unfamiliar environments by solely relying on our prior knowledge and descriptions of the environment. For robots to perform t…
Kalman Filter Auto-tuning through Enforcing Chi-Squared Normalized Error Distributions with Bayesian Optimization
Zhaozhong Chen, Harel Biggie, Nisar Ahmed +2
The nonlinear and stochastic relationship between noise covariance parameter values and state estimator performance makes optimal filter tuning a very challenging problem. Popular…
Looking Around Corners: Generative Methods in Terrain Extension
Alec Reed, Christoffer Heckman
In this paper, we provide an early look at our model for generating terrain that is occluded in the initial lidar scan or out of range of the sensor. As a proof of concept, we show…
Towards Decentralized Heterogeneous Multi-Robot SLAM and Target Tracking
Ofer Dagan, Tycho L. Cinquini, Luke Morrissey +3
In many robotics problems, there is a significant gain in collaborative information sharing between multiple robots, for exploration, search and rescue, tracking multiple targets,…
A New Wave in Robotics: Survey on Recent mmWave Radar Applications in Robotics
Kyle Harlow, Hyesu Jang, Timothy D. Barfoot +2
We survey the current state of millimeterwave (mmWave) radar applications in robotics with a focus on unique capabilities, and discuss future opportunities based on the state of th…