Insect-inspired AI for autonomous robots
GCHE de Croon, JJG Dupeyroux, SB Fuller… - Science robotics, 2022 - science.org
Autonomous robots are expected to perform a wide range of sophisticated tasks in complex,
unknown environments. However, available onboard computing capabilities and algorithms …
unknown environments. However, available onboard computing capabilities and algorithms …
A survey on optimized implementation of deep learning models on the nvidia jetson platform
Abstract Design of hardware accelerators for neural network (NN) applications involves
walking a tight rope amidst the constraints of low-power, high accuracy and throughput …
walking a tight rope amidst the constraints of low-power, high accuracy and throughput …
The current state and future outlook of rescue robotics
Robotic technologies, whether they are remotely operated vehicles, autonomous agents,
assistive devices, or novel control interfaces, offer many promising capabilities for …
assistive devices, or novel control interfaces, offer many promising capabilities for …
The foldable drone: A morphing quadrotor that can squeeze and fly
The recent advances in state estimation, perception, and navigation algorithms have
significantly contributed to the ubiquitous use of quadrotors for inspection, map**, and …
significantly contributed to the ubiquitous use of quadrotors for inspection, map**, and …
Minimal navigation solution for a swarm of tiny flying robots to explore an unknown environment
Swarms of tiny flying robots hold great potential for exploring unknown, indoor
environments. Their small size allows them to move in narrow spaces, and their light weight …
environments. Their small size allows them to move in narrow spaces, and their light weight …
Enhancing optical-flow-based control by learning visual appearance cues for flying robots
Flying insects employ elegant optical-flow-based strategies to solve complex tasks such as
landing or obstacle avoidance. Roboticists have mimicked these strategies on flying robots …
landing or obstacle avoidance. Roboticists have mimicked these strategies on flying robots …
A comprehensive review on reconfigurable drones: Classification, characteristics, design and control technologies
Recently, reconfigurable drones have gained particular attention in the field of automation
and flying robots. Unlike the conventional drones, they are characterized by a variable …
and flying robots. Unlike the conventional drones, they are characterized by a variable …
Autonomous drone race: A computationally efficient vision-based navigation and control strategy
Drone racing is becoming a popular sport where human pilots have to control their drones to
fly at high speed through complex environments and pass a number of gates in a pre …
fly at high speed through complex environments and pass a number of gates in a pre …
Accommodating unobservability to control flight attitude with optic flow
Attitude control is an essential flight capability. Whereas flying robots commonly rely on
accelerometers for estimating attitude, flying insects lack an unambiguous sense of gravity …
accelerometers for estimating attitude, flying insects lack an unambiguous sense of gravity …
Evdodgenet: Deep dynamic obstacle dodging with event cameras
Dynamic obstacle avoidance on quadrotors requires low latency. A class of sensors that are
particularly suitable for such scenarios are event cameras. In this paper, we present a deep …
particularly suitable for such scenarios are event cameras. In this paper, we present a deep …