Vision based Target Interception using Aerial Manipulation

09/28/2020
by   Lima Agnel Tony, et al.
0

Selective interception of objects in unknown environment autonomously by UAVs is an interesting problem. In this work, vision based interception is carried out. This problem is a part of challenge 1 of Mohammed Bin Zayed International Robotic Challenge, 2020, where, balloons are kept at five random locations for the UAVs to autonomously explore, detect, approach and intercept. The problem requires a different formulation to execute compared to the normal interception problems in literature. This work details the different aspect of this problem from vision to manipulator design. The frame work is implemented on hardware using Robot Operating System (ROS) communication architecture.

READ FULL TEXT

page 3

page 4

page 5

page 6

page 7

research
10/04/2020

Collaborative Tracking and Capture of Aerial Object using UAVs

This work details the problem of aerial target capture using multiple UA...
research
09/08/2020

Multi-Agent Collaboration for Building Construction

This paper details the algorithms involved and task planner for vehicle ...
research
09/01/2021

Autonomous Cooperative Multi-Vehicle System for Interception of Aerial and Stationary Targets in Unknown Environments

This paper presents the design, development, and testing of hardware-sof...
research
11/08/2019

Accurate Vision-based Manipulation through Contact Reasoning

Planning contact interactions is one of the core challenges of many robo...
research
06/12/2020

RISCuer: A Reliable Multi-UAV Search and Rescue Testbed

We present the RISC Lab multi-agent testbed for reliable search and resc...
research
01/04/2022

Post-Stall Navigation with Fixed-Wing UAVs using Onboard Vision

Recent research has enabled fixed-wing unmanned aerial vehicles (UAVs) t...
research
02/24/2019

Vision Based Picking System for Automatic Express Package Dispatching

This paper presents a vision based robotic system to handle the picking ...

Please sign up or login with your details

Forgot password? Click here to reset