EDBT 2026 Demo / reviewers in the wild / expert
Gregory E. Chamitoff
dblp:32/8601
· DBLP profile ↗
2ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1Human-computer interaction and ubiquitous computing · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Legged, aerial and field robots · 62% Motion planning and robot control · 38% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Legged, aerial and field robots › aerial robots
quadrotor |
0.3 | 1 | 2018 | Differential Flatness Transformations for Aggressive Quadrotor Flight · ICRA 2018 |
Robotics › Motion planning and robot control › trajectory planning
differential flatness |
0.1 | 1 | 2018 | Differential Flatness Transformations for Aggressive Quadrotor Flight · ICRA 2018 |
Robotics › Motion planning and robot control
trajectory planning |
0.1 | 1 | 2018 | Differential Flatness Transformations for Aggressive Quadrotor Flight · ICRA 2018 |
Methods — techniques the papers use, named apart from their topics
hierarchical control · 0.3differential flatness transformation · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | From Classroom to Cosmos: The Impact of Space Teams Academy on Engineering EducationabstractSpace Teams Academy (STA) is a new, innovative, and virtual STEM program that teaches students about space exploration, teamwork, and engineering design principles. Recent simulation technology and advances in virtual reality (VR) make it possible to immerse and engage students in the design of advanced space exploration missions. Space Teams Academy is built upon the Space Teams platform. This sophisticated toolkit serves as a comprehensive mission design and simulation platform, providing an accurate representation of the space environment, thereby enabling users to design end-to-end virtual interplanetary missions. The Space Teams platform has been utilized for diverse space industry projects, ranging from NASA design competitions to commercial orbital servicing, and the evaluation of astronaut training scenarios. The STA program provides an unprecedented opportunity for students, from elementary through high school, to delve into an immersive and highly realistic virtual space environment. It inspires creativity, while requiring teamwork and critical thinking to solve complex problems related to the design of interplanetary vehicles, habitats on distant planets, and strategies to manage vital resources for human survival on these new worlds. The STA program is strongly aligned with the Next Generation Science Standards (NGSS) and covers a wide range of NASA's STEM Educational Objectives. Through this educational space adventure, STA students receive valuable insights from industry professionals such as space engineers, scientists and astronauts. Topics include planetary science, spacecraft design and assembly, orbital mechanics, landing on another world, and constructing extraterrestrial habitats with the ultimate goal of human sustainability. Space Teams Academy arms students with essential teamwork and critical thinking skills, while equipping them with the key STEM concepts necessary to conceptualize and execute real-world space mission scenarios. The effectiveness of STA's approach has been demonstrated by a comprehensive research study (Space Teams STEM Competition: Outcomes and Efficacy, AIAA Scitech, 2023). The study observed a significant increase in students' interest in STEM fields, a marked increase in their space knowledge and engineering skills, as well as distinct improvements in problem-solving and collaborative abilities. With the aim of furthering the impact of STA, NASA Space Grant has funded a program called Space Teams Labs (STL), which intends to reach over 10,000 students over a period of 3 years. STL seeks to provide continuous access to underserved students, promote a diverse and inclusive workforce, and to foster deeper engagement with the next generation of STEM leaders. The STL program is guided by five primary directives: strategic selection of underserved schools and programs, provision and installation of necessary hardware, fostering partnerships, training of facilitators, and most importantly, consistent education and inspiration of students. The influence of Space Teams Academy also extends beyond the younger students. The development of the program has involved hundreds of university engineering students, thus contributing to their education and skills using modern engineering tools as part of the Texas A&M Aggie Challenge program. As such, the development and implementation of Space Teams Academy is having a profound impact on students of all ages and thus shaping future careers in space exploration and other STEM fields. Fernando S. Arias, Elise A. Koock, Gregory E. Chamitoff |
FIE | 3 |
| 2018 | Differential Flatness Transformations for Aggressive Quadrotor FlightabstractAggressive maneuvering amongst obstacles could enable advanced capabilities for quadrotors in applications such as search and rescue, surveillance, inspection, and situations where rapid flight is required in cluttered environments. Previous works have treated quadrotors as differentially flat systems, and this property has been exploited widely to design simple algorithms that generate dynamically feasible trajectories and to enable hierarchical control. The differentially flat property allows the full state of the quadrotor to be extracted from the reduced dimensional space of x, y, z, yaw and their derivatives. This differential flatness transformation has a number of singularities, however, as well as stability issues when controlling near these singularities. Many methods have been described in the literature to address these; however, they all have limitations when exploring the full flight envelope of a quadrotor, including roll or pitch angles past 90°, and during inverted flight. In this paper, we review these existing methods and then introduce our method, which combines multiple methods to provide a highly-robust differential flatness transformation that addresses most of these issues. Our approach is demonstrated enabling highly-aggressive quadrotor flight in both simulations and real-world experiments. Benjamin Morrell, Marc Rigter, Gene Merewether, Robert Reid 0001, Rohan Thakker, Theodore Tzanetos, Vinay Rajur, Gregory E. Chamitoff |
ICRA | 8 |