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Daniel Pastor

7 accepted papers

2023

A Multi-step Dynamics Modeling Framework For Autonomous Driving In Multiple Environments

ICRA 2023poster

Modeling dynamics is often the first step to making a vehicle autonomous. While on-road autonomous vehicles have been extensively studied, off-road vehicles pose many challenging modeling problems. An off-road vehicle encounters highly complex and difficult-to-model terrain/vehicle interactions, as…

Cited by 15SourceScholar
2023

EELS: Towards Autonomous Mobility in Extreme Terrain with a Versatile Snake Robot with Resilience to Exteroception Failures

IROS 2023poster

The discovery of ocean worlds such as Enceladus, Titan, and Europa motivates the development of versatile autonomous mobility systems to enable the next era of space exploration where there is large uncertainty in terrain specifications due to a lack of prior surface reconnaissance missions. To expl…

Cited by 12SourceScholar
2023

GranularGym: High Performance Simulation for Robotic Tasks with Granular Materials

RSS 2023poster

Granular materials are of critical interest to many robotic tasks in planetary science, construction, and manufacturing. However, the dynamics of granular materials are complex and often computationally very expensive to simulate. We propose a set of methodologies and a system for the fast simulatio…

Cited by 6SourcePDFScholar
2022

Early Recall, Late Precision: Multi-Robot Semantic Object Mapping under Operational Constraints in Perceptually-Degraded Environments

IROS 2022poster

Semantic object mapping in uncertain, perceptually degraded environments during long-range multi-robot autonomous exploration tasks such as search-and-rescue is important and challenging. During such missions, high recall is desirable to avoid missing true target objects and high precision is also c…

Cited by 5SourceScholar
2020

Design and Autonomous Stabilization of a Ballistically-Launched Multirotor

ICRA 2020poster

Aircraft that can launch ballistically and convert to autonomous, free-flying drones have applications in many areas such as emergency response, defense, and space exploration, where they can gather critical situational data using onboard sensors. This paper presents a ballistically-launched, autono…

Cited by 31SourceScholar
2020

Episodic Koopman Learning of Nonlinear Robot Dynamics with Application to Fast Multirotor Landing

ICRA 2020poster

This paper presents a novel episodic method to learn a robot's nonlinear dynamics model and an increasingly optimal control sequence for a set of tasks. The method is based on the Koopman operator approach to nonlinear dynamical systems analysis, which models the flow of observables in a function sp…

Cited by 34SourceScholar
2019

Design of a Ballistically-Launched Foldable Multirotor

IROS 2019poster

The operation of multirotors in crowded environments requires a highly reliable takeoff method, as failures during takeoff can damage more valuable assets nearby. The addition of a ballistic launch system imposes a deterministic path for the multirotor to prevent collisions with its environment, as…

Cited by 27SourceScholar