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Nageli, Tobias (author), Oberholzer, Samuel (author), Pluss, Silvan (author), Alonso-Mora, J. (author), Hilliges, Otmar (author)
We propose a real-time method for the infrastructure-free estimation of articulated human motion. The approach leverages a swarm of camer aequipped flying robots and jointly optimizes the swarm's and skeletal states, which include the 3D joint positions and a set of bones. Our method allows to track the motion of human subjects, for example...
journal article 2018
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Alonso-Mora, J. (author), Montijano, Eduardo (author), Nägeli, Tobias (author), Hilliges, Otmar (author), Schwager, Mac (author), Rus, Daniela (author)
This paper presents a distributed method for formation control of a homogeneous team of aerial or ground mobile robots navigating in environments with static and dynamic obstacles. Each robot in the team has a finite communication and visibility radius and shares information with its neighbors to coordinate. Our approach leverages both...
journal article 2018
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Liebenwein, Lucas (author), Schwarting, Wilko (author), Vasile, Cristian-Ioan (author), DeCastro, Jonathan (author), Alonso-Mora, J. (author), Karaman, Sertac (author), Rus, Daniela (author)
Recent advances in autonomous driving have raised the problem of safety<br/>to the forefront and incentivized research into establishing safety guarantees. In this paper, we propose a safety verification framework as a safety standard for driving controllers with full or shared autonomy based on compositional and contract-based principles. Our...
conference paper 2017
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Alonso-Mora, J. (author), Baker, Stuart (author), Rus, Daniela (author)
We present a constrained optimization method for multi-robot formation control in dynamic environments, where the robots adjust the parameters of the formation, such as size and three-dimensional orientation, to avoid collisions with static and moving obstacles, and to make progress towards their goal. We describe two variants of the...
journal article 2017
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Alonso-Mora, J. (author), DeCastro, Jonathan A. (author), Raman, Vasumathi (author), Rus, Daniela (author), Kress-Gazit, Hadas (author)
In the near future mobile robots, such as personal robots or mobile manipulators, will share the workspace with other robots and humans. We present a method for mission and motion planning that applies to small teams of robots performing a task in an environment with moving obstacles, such as humans. Given a mission specification written in...
journal article 2017
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Schwarting, Wilko (author), Alonso-Mora, J. (author), Paull, Liam (author), Karaman, Sertac (author), Rus, Daniela (author)
High-end vehicles are already equipped with safety systems, such as assistive braking and automatic lane following, enhancing vehicle safety. Yet, these current solutions can only help in low-complexity driving situations. In this paper, we introduce a parallel autonomy, or shared control, framework that computes safe trajectories for an...
journal article 2017
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Schwarting, Wilko (author), Alonso-Mora, J. (author), Pauli, Liam (author), Karaman, Sertac (author), Rus, Daniela (author)
Current state-of-the-art vehicle safety systems, such as assistive braking or automatic lane following, are still only able to help in relatively simple driving situations. We introduce a Parallel Autonomy shared-control framework that produces safe trajectories based on human inputs even in much more complex driving scenarios, such as those...
conference paper 2017
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Kamel, Mina (author), Alonso-Mora, J. (author), Siegwart, Roland (author), Nieto, Juan (author)
When several Multirotor Micro Aerial Vehicles (MAVs) share the same airspace, reliable and robust collision avoidance is required. In this paper we address the problem of multi-MAV reactive collision avoidance. We employ a model-based controller to simultaneously track a reference trajectory and avoid collisions. Moreover, to achieve a higher...
conference paper 2017
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Alonso-Mora, J. (author), Wallar, Alex (author), Rus, Daniela (author)
Ride-sharing, or carpooling, systems with autonomous vehicles will provide efficient and reliable urban mobility on demand. In this work we present a method for dynamic vehicle routing that leverages historical data to improve the performance of a network of self-driving taxis. In particular, we describe a constrained optimization method...
conference paper 2017
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Schiano, F. (author), Alonso-Mora, J. (author), Rudin, K. (author), Beardsley, P. (author), Siegwart, R. (author), Siciliano, B. (author)
In this paper the problem of estimation and correction of wind effects on a quadrotor UAV, without using wind sensors, is discussed. A large body of research addresses the effects of wind on a quadrotor, however most of them consider it only as a disturbance in their control loop and, for this reason, they solved the problem compensating for the...
conference paper 2014
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