# positions[].organizations[].label
Institute for Engineering Education and Innovation

# positions[].organizations[].parent[].label
Texas A&M Engineering Experiment Station (TEES)

# overview
Randomized motion planning algorithms can be applied to any type of robot, from simple rigid bodies to complex articulated linkages.  We abstract the particular motion planning problem into configuration space (C-space) where each point in C-space represents a particular configuration/placement of the robot. Invalid configurations (e.g., in-collision, high energy) become C-obstacles in this higher dimensional space.  We then use randomized sampling to construct a graph or tree in C-space and use this data structure to extract feasible trajectories.  We explore different general purpose techniques to improve planner performance as well as applications to computational biology.

# keywords[]
Probabilistic Roadmap Method (prm), Rapidly-exploring Random Tree (rrt)

# keywords[]
Standard Template Adaptive Parallel Library (stapl)

# keywords[]
3507 Strategy, Management And Organisational Behaviour

# keywords[]
35 Commerce, Management, Tourism And Services

# keywords[]
4603 Computer Vision And Multimedia Computation

# keywords[]
4007 Control Engineering, Mechatronics And Robotics

# keywords[]
3507 Strategy, Management And Organisational Behaviour

# keywords[]
35 Commerce, Management, Tourism And Services

# keywords[]
Networking And Information Technology R&d

# keywords[]
5 Development Of Treatments And Therapeutic Interventions

# educationAndTraining[].organization.label
Texas A&M University - (College Station, Texas, United States)

# educationAndTraining[].organization.label
Texas A&M University - (College Station, Texas, United States)

# publications[].label
A Scalable Distributed RRT for Motion Planning

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Improving decoy databases for protein folding algorithms

# publications[].publisher
Association for Computing Machinery (ACM)

# publications[].label
UOBPRM: A Uniformly Distributed Obstacle-Based PRM

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Decoy Database Improvement for Protein Folding.

# publications[].label
Simulating RNA Folding Kinetics on Approximated Energy Landscapes (vol 381, pg 1055, 2008)

# publications[].label
Sampling Based Motion Planning with Reachable Volumes: Application to Manipulators and Closed Chain Systems

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Tools for simulating and analyzing RNA folding kinetics

# publications[].label
Best Practices in Robotics Education: Perspectives From an IEEE RAS Women in Engineering Panel

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Improved Roadmap Connection via Local Learning for Sampling Based Planners

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Motion Planning using Hierarchical Aggregation of Workspace Obstacles

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Proceedings of the 1st International Workshop on Robot Learning and Planning (RLP 2016)

# publications[].label
Kinetics analysis methods for approximate folding landscapes.

# publications[].label
Blind RRT: A Probabilistically Complete Distributed RRT

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Creating a Supportive Space for Teaching-Focused Faculty to Write About their Teaching

# publications[].publisher
American Society for Engineering Education

# publications[].label
Simulating protein motions with rigidity analysis.

# publications[].label
Special issue on "Robotics: Science and Systems", 2016

# publications[].label
Special issue on the International Symposium on Robotics Research, 2017

# publications[].label
A general framework for PRM motion planning

# publications[].label
PSYCHOLOGY. Estimating the reproducibility of psychological science.

# publications[].publisher
American Association for the Advancement of Science (AAAS)

# publications[].label
Parallel Protein Folding with STAPL**This research supported in part by NSF Grants ACI-9872126 EIA-9975018, EIA-0103742, EIA-9805823, ACR-0081510, ACR-0113971, CCR-0113974, EIA-9810937, EIA-0079874, by the DOE ASCI ASAP program, and by the Texas Higher Education Coordinating Board grant ATP-0005120261-2001. Thomas supported in part by an NSF Graduate Research Fellowship.

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Lessons learned: faculty watch parties are a powerful approach to foster diversity and inclusivity discussions

# publications[].publisher
American Society for Engineering Education

# publications[].label
The Power of the Pre-Course Survey for Course Launch, Addressing Concerns, and Developing Community

# publications[].publisher
American Society for Engineering Education

# publications[].label
A General and Flexible Search Framework for Disassembly Planning

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
UMAPRM: Uniformly Sampling the Medial Axis

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Using Guided Motion Planning to Study Binding Site Accessibility

# publications[].publisher
Association for Computing Machinery (ACM)

# publications[].label
A PATH PLANNING-BASED STUDY OF PROTEIN FOLDING WITH A CASE STUDY OF HAIRPIN FORMATION IN PROTEIN G AND L

# publications[].label
Planning with Reachable Distances: Fast Enforcement of Closure Constraints

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
A multi-directional rapidly exploring random graph (mRRG) for protein folding

# publications[].publisher
Association for Computing Machinery (ACM)

# publications[].label
Rigidity Analysis for Modeling Protein Motion

# publications[].label
MARRT: Medial Axis Biased Rapidly-Exploring Random Trees

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Using motion planning to study RNA folding kinetics.

# publications[].label
A Scalable Method for Parallelizing Sampling-Based Motion Planning Algorithms

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Adaptive Neighbor Connection for PRMs: A Natural Fit for Heterogeneous Environments and Parallelism

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Manipulation Planning with Directed Reachable Volumes

# publications[].label
Creating and Implementing an Online Course Etiquette Appreciative Agreement: Recommendations and Insights for Updating Course Material and Social Expectations to Aid in the Transition to Online Learning During the COVID-19 Pandemic

# publications[].publisher
TAMU Engineering Education Faculty Tech Reports

# publications[].label
Adaptive Local Learning in Sampling Based Motion Planning for Protein Folding

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
RESAMPL: A Region-Sensitive Adaptive Motion Planner

# publications[].label
A General Framework for Sampling on the Medial Axis of the Free Space * *This research supported in part by NSF Grants ACI-9872126 EIA-9975018, EIA-0103742, EIA-9805823, ACR-0113971, CCR-0113974, EIA-9810937, EIA-0079874, and by the Texas Higher Education Coordinating Board grant ATP-000512-0261-2001. Thomas is supported in part by an NSF Graduate Research Fellowship.

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Sampling-Based Motion Planning with Reachable Volumes: Theoretical Foundations

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
The Disconnect Between Engineering Students Desire to Discuss Racial Injustice in the Classroom and Faculty Anxieties

# publications[].label
Fast Collision Detection for Motion Planning Using Shape Primitive Skeletons

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Interaction Templates for Multi-Robot Systems

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Biasing Samplers to Improve Motion Planning Performance

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Simulating protein motions with rigidity analysis

# publications[].label
A General Framework for PRM Motion Planning **This research supported in part by NSF Grants ACI-9872126 ElA-9975018, EIA-OI03742, EIA-9805823, ACR-0081510, ACR-0113971. CCR-O113974, EIA-9810937, EIA-0079874, and by the Texas Higher Education Coordinating Board grant ATP-000512-0261-2001. Song supported in part by an IBM TJ Watson PhD Fellowship and Thomas supported in part by an NSF Graduate Research Fellowship.

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Multi-Robot Task and Motion Planning With Subtask Dependencies

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
A Student-Led Ethics Deep Dive, Discussion, and Content-Generation Ethics Assignment in Computer Science & Engineering Capstone

# publications[].publisher
American Society for Engineering Education

# publications[].label
Convergence in Collaborative Course Design while Remaining Virtual

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
INTEGRATING OPEN EDUCATIONAL RESOURCES IN SOFTWARE ENGINEERING AND COMPUTER SCIENCE SERVICE COURSES: IMPLEMENTATION AND STUDENT FEEDBACK

# publications[].label
Using motion planning to study RNA folding kinetics

# publications[].publisher
Association for Computing Machinery (ACM)

# publications[].label
Rigidity analysis for protein motion and folding core identification

# publications[].label
Sampling-based motion planning with reachable volumes for high-degree-of-freedom manipulators

# publications[].label
A path planning-based study of protein folding with a case study of hairpin formation in protein G and L.

# publications[].label
An Unsupervised Adaptive Strategy for Constructing Probabilistic Roadmaps* *This research supported in part by NSF Grants EIA-0103742, ACR-0081510, ACR-0113971, CCR-0113974, ACI-0326350, CRI-0551685, CCF-0833199, CCF-0830753, by the DOE, Chevron, IBM, Intel, HP, and by King Abdullah University of Science and Technology (KAUST) Award KUS-C1-016-04. Tapia supported in part by an NIH Molecular Biophysics Training Grant (T32GM065088), a PEO scholarship, and by a Department of Education (GAANN) Fellowship. Thomas supported in part by an NSF Graduate Research Fellowship, a PEO scholarship, a Dept. of Education Graduate Fellowship (GAANN), and an IBM TJ Watson PhD Fellowship.

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Adaptive Local Learning in Sampling Based Motion Planning for Protein Folding

# publications[].label
A general framework for sampling on the medial axis of the free space

# publications[].label
A MOTION PLANNING APPROACH TO STUDYING MOLECULAR MOTIONS

# publications[].label
The Development of a Texas A&M University Faculty of Engineering Education

# publications[].publisher
American Society for Engineering Education

# publications[].label
Annotated-skeleton Biased Motion Planning for Faster Relevant Region Discovery

# publications[].label
EXPLORING THE IMPACT OF PREREQUISITES AND ELECTIVE CHOICE ON DOWNSTREAM UPPER-LEVEL COMPUTER SCIENCE COURSES

# publications[].label
Reachable Distance Space: Efficient Sampling-Based Planning for Spatially Constrained Systems

# publications[].label
Simulating RNA folding kinetics on approximated energy landscapes.

# publications[].label
Using motion planning to rank ligand binding affinity

# publications[].publisher
Association for Computing Machinery (ACM)

# researcherOn[].label
AF: Small: Motion Planning Techniques for Protein Motion

# researcherOn[].awardedBy.label
National Science Foundation - (Arlington, Virginia, United States)

# teachingMaterials[].label
Creating and Implementing an Online Course Etiquette Appreciative Agreement: Recommendations and Insights for Updating Course Material and Social Expectations to Aid in the Transition to Online Learning During the COVID-19 Pandemic

# streetAddress
Texas A&M University; Computer Science & Engineering; 3112 TAMU

# organizations[]
Institute for Engineering Education and Innovation

# organizations[]
Texas A&M Engineering Experiment Station (TEES)

# schools[]
Texas A&M Engineering Experiment Station (TEES)