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08/01/2023
AOSoar: Autonomous Orographic Soaring of a Micro Air Vehicle
Utilizing wind hovering techniques of soaring birds can save energy expe...
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05/23/2023
Autonomous Control for Orographic Soaring of Fixed-Wing UAVs
We present a novel controller for fixed-wing UAVs that enables autonomou...
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05/22/2023
Optimality Principles in Spacecraft Neural Guidance and Control
Spacecraft and drones aimed at exploring our solar system are designed t...
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05/04/2023
Guidance Control Networks for Time-Optimal Quadcopter Flight
Reaching fast and autonomous flight requires computationally efficient a...
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04/26/2023
An Adaptive Control Strategy for Neural Network based Optimal Quadcopter Controllers
Developing optimal controllers for aggressive high-speed quadcopter flig...
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04/18/2023
Neuromorphic computing for attitude estimation onboard quadrotors
Compelling evidence has been given for the high energy efficiency and up...
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04/18/2023
Neuromorphic Control using Input-Weighted Threshold Adaptation
Neuromorphic processing promises high energy efficiency and rapid respon...
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03/09/2023
Taming Contrast Maximization for Learning Sequential, Low-latency, Event-based Optical Flow
Event cameras have recently gained significant traction since they open ...
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01/18/2023
AvoidBench: A high-fidelity vision-based obstacle avoidance benchmarking suite for multi-rotors
Obstacle avoidance is an essential topic in the field of autonomous dron...
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11/24/2022
Lightweight Event-based Optical Flow Estimation via Iterative Deblurring
Inspired by frame-based methods, state-of-the-art event-based optical fl...
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09/14/2022
NanoFlowNet: Real-time Dense Optical Flow on a Nano Quadcopter
Nano quadcopters are small, agile, and cheap platforms that are well sui...
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08/30/2022
CUAHN-VIO: Content-and-Uncertainty-Aware Homography Network for Visual-Inertial Odometry
Learning-based visual ego-motion estimation is promising yet not ready f...
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05/11/2022
Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots
Machine learning (ML) has become a pervasive tool across computing syste...
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03/28/2022
Adaptive Risk Tendency: Nano Drone Navigation in Cluttered Environments with Distributional Reinforcement Learning
Enabling robots with the capability of assessing risk and making risk-aw...
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07/12/2021
Sniffy Bug: A Fully Autonomous Swarm of Gas-Seeking Nano Quadcopters in Cluttered Environments
Nano quadcopters are ideal for gas source localization (GSL) as they are...
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06/29/2021
EVPropNet: Detecting Drones By Finding Propellers For Mid-Air Landing And Following
The rapid rise of accessibility of unmanned aerial vehicles or drones po...
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05/26/2021
Self-supervised Monocular Multi-robot Relative Localization with Efficient Deep Neural Networks
Relative localization is an important ability for multiple robots to per...
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03/09/2021
A model-based framework for learning transparent swarm behaviors
This paper proposes a model-based framework to automatically and efficie...
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03/05/2021
MAMBPO: Sample-efficient multi-robot reinforcement learning using learned world models
Multi-robot systems can benefit from reinforcement learning (RL) algorit...
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01/06/2021
CNN-based Visual Ego-Motion Estimation for Fast MAV Maneuvers
In the field of visual ego-motion estimation for Micro Air Vehicles (MAV...
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03/12/2020
An autonomous swarm of micro flying robots with range-based relative localization
Accurate relative localization is an important requirement for a swarm o...
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12/16/2019
Evolution of Robust High Speed Optical-Flow-Based Landing for Autonomous MAVs
Automatic optimization of robotic behavior has been the long-standing go...
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12/15/2019
Aggressive Online Control of a Quadrotor via Deep Network Representations of Optimality Principles
Optimal control holds great potential to improve a variety of robotic ap...
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09/25/2019
Learning to Seek: Autonomous Source Seeking with Deep Reinforcement Learning Onboard a Nano Drone Microcontroller
Fully autonomous navigation using nano drones has numerous application i...
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05/24/2019
Visual Model-predictive Localization for Computationally Efficient Autonomous Racing of a 72-gram Drone
Drone racing is becoming a popular e-sport all over the world, and beati...
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05/16/2019
How do neural networks see depth in single images?
Deep neural networks have lead to a breakthrough in depth estimation fro...
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07/28/2018
Unsupervised Learning of a Hierarchical Spiking Neural Network for Optical Flow Estimation: From Events to Global Motion Perception
The combination of spiking neural networks and event-based vision sensor...
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05/18/2018
On-board Range-based Relative Localization for Micro Aerial Vehicles in indoor Leader-Follower Flight
We present a range-based solution for indoor relative localization by Mi...
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04/18/2018
Provable Emergent Pattern Formation by a Swarm of Anonymous, Homogeneous, Non-Communicating, Reactive Robots with Limited Relative Sensing and no Global Knowledge or Positionin
In this work, we explore emergent behaviors by swarms of anonymous, homo...
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01/31/2017
