Cooperative Grasping and Transport Using Multiple Quadrotors

By Daniel Mellinger, Michael Shomin, Nathan Michael, Vijay R. Kumar. International Symposium on Distributed Autonomous Robotic Systems, 2010

528 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Control and Systems Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/d4175aa91b44d97b997f65ef8c6dc25075cc7784

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In Biomedical Engineering

In Control and Systems Engineering

In Mechanical Engineering

Citations in the corpus

Vision based navigation for micro helicopters (2012, methodology): “Most closely related to the present dissertation is (Mirzaei and Roumeliotis (2008)) and (Kelly and Sukhatme (2011)).”
Opportunities and challenges with autonomous micro aerial vehicles (2012, methodology): “Methods such as those described by Lupashin et al. (2010), Mellinger et al. (2010a), and Mellinger et al. (2011) are good starting points for such studies.”
Pushbroom stereo for high-speed navigation in cluttered environments (2014, background): “Recently we have seen an explosion of exciting results on small, unmanned aerial vehicles (UAVs) such as obstacle avoidance and trajectory tracking [24], formation flight [20], [25], and cooperative interactions with the environment [6], [23], [29].”
Design, modeling, estimation and control for aerial grasping and manipulation (2011, methodology): “While multiple robots can carry payloads with grippers [15] or with cables [16], their end effectors and grippers have to be light weight themselves and capable of grasping complex shapes.”
The Flight Assembled Architecture installation: Cooperative construction with flying machines (2014, background): “Aerial manipulation research is currently addressing many of the open questions on the use of UAVs in scenarios where they must interact with their surroundings [9] and with each other to achieve a task: multiple quadrocopters cooperating to lift a payload are presented, among others, in [10]–[12]; ”
A Survey on Aerial Swarm Robotics (2018, background): “UAVs that are rigidly attached to the objects use a variety of grippers, including friction-based [134], penetration-based [135], or magnetic [137].”
A computationally efficient algorithm for state-to-state quadrocopter trajectory generation and feasibility verification (2013, background): “The popularity of quadrocopters as aerial robotics research platforms has grown rapidly over the past years, with research topics including, for example, vision-based pose estimation [1], nonlinear control [2], cooperative control [3], aerial manipulation [4] and aerial acrobatics [5].”
Past, Present, and Future of Aerial Robotic Manipulators (2022, methodology): “The result of [129] was extended in [140], where two quadrotors were used to transport a rigid rod only with onboard sensing (i.”
Vision-based autonomous quadrotor landing on a moving platform (2017, background): “Recent work has demonstrated their capabilities in many different applications including but not limited to: searchand-rescue, object transportation, inspection, surveillance and mapping [1], [2], [3].”
Swarm of micro flying robots in the wild (2022, background): “Formation flight is widely used in drone light shows and has been demonstrated in cooperative transportation (43, 32), but all these demonstrations are presented in empty or manually controlled environments.”
PIXHAWK: A micro aerial vehicle design for autonomous flight using onboard computer vision (2012, methodology): “by means of a Vicon motion capture system) to measure the vehicle position [12,22,23,9].”
Aerial manipulation using a quadrotor with a two DOF robotic arm (2013, methodology): “In [4], a team of quadrotors are employed for collaboratively picking up a relatively large object using a similar gripper.”