Home research People General Info Seminars Resources Intranet
| Algorithms & Applcations Group | Home | Research | Publications | People | Resources | News
Algorithms & Applications Group
Environmental Design

Project Personnel:Samuel Rodriguez,Nancy Amato

In this work, we use our framework for simulating and controlling communities of characters that can interact with each other and their environment, and can dynamically react to changes. We have modeled a number of environmental changes and applied optimization techniques to influence the movement of the agents.

Evacuation and egress simulations can be a useful tool in determining the effect of design decisions on the flow of agent movement. This type of simulation can be used to determine beforehand the effect of such design decisions and potential improvements that can be made. In this work, we look at how agent egress is effected by the environment in real world and large scale virtual environments and investigate metrics to analyze the flow. Our work differs from many evacuation systems in that we handle real world environments, support grouping restrictions betweens agents (e.g., families or other social groups traveling together), and model the scenario of agents moving with multiple modes of transportation with physically realistic dynamics (e.g., individuals walk from a building to their own cars and leave only when all people in the group arrive). We also focus on the motion strategies necessary to allow agents to navigate in these complex environments.

Evacuation and egress simulations can be a useful tool in determining the effect of design decisions on the flow of agent movement. This type of simulation can be used to determine beforehand the effect of such design decisions and potential improvements that can be made. In this work, we look at how agent egress is effected by the environment in real world and large scale virtual environments and investigate metrics to analyze the flow. Our work differs from many evacuation systems in that we handle real world environments, support grouping restrictions betweens agents (e.g., families or other social groups traveling together), and model the scenario of agents moving with multiple modes of transportation with physically realistic dynamics (e.g., individuals walk from a building to their own cars and leave only when all people in the group arrive). We also focus on the motion strategies necessary to allow agents to navigate in these complex environments.

Scenario: 400 agents in a multi-level building undergoing egress experiencing different architectural components and design factors.

  • Varying door types (mp4)
  • Varying pillar placement (mp4)
  • Evacuation and egress simulations can be a useful tool in determining the effect of design decisions on the flow of agent movement. This type of simulation can be used to determine beforehand the effect of such design decisions and potential improvements that can be made. In this work, we look at how agent egress is effected by the environment in real world and large scale virtual environments and investigate metrics to analyze the flow. Our work differs from many evacuation systems in that we handle real world environments, support grouping restrictions betweens agents (e.g., families or other social groups traveling together), and model the scenario of agents moving with multiple modes of transportation with physically realistic dynamics (e.g., individuals walk from a building to their own cars and leave only when all people in the group arrive). We also focus on the motion strategies necessary to allow agents to navigate in these complex environments.

    Scenario: Pedestrians and vehicles performing egress behavior. Pedestrians can be associated with vehicles which have to wait for the associated pedestrians to arrive.

  • 200 pedestrians, 40 vehicles, lot configuration 1 (mp4)
  • 200 pedestrians, 40 vehicles, lot configuration 2 (mp4)
  • Example with pedestrians in Langford A/B and nearby actual parking lot (mp4)
  • Reciprocally-Rotating Velocity Obstacles, Andrew Giese, Daniel Latypov, Nancy M. Amato, In Proc. IEEE Int. Conf. Robot. Autom. (ICRA), pp. to appear, Hong Kong, China, Jun 2014. Also, Technical Report, TR13-009, Parasol Laboratory, Department of Computer Science, Texas A&M University, College Station, TX U.S.A., Oct 2013.
    Proceedings(ps, pdf, abstract) Technical Report(ps, pdf, abstract)

    Reciprocally-Rotating Velocity Obstacles, Andrew Giese, Masters Thesis, Department of Computer Science and Engineering, Texas A&M University, College Station, USA, May 2014.
    Masters Thesis(ps, pdf, abstract)

    Multi-Robot Caravanning, Jory Denny, Andrew Giese, Aditya Mahadevan, Arnaud Marfaing, Rachel Glockenmeier, Colton Revia, Samuel Rodriguez, Nancy M. Amato, In Proc. IEEE Int. Conf. Intel. Rob. Syst. (IROS), pp. 5722 - 5729, Tokyo, Japan, Nov 2013.
    Proceedings(pdf, abstract)

    Optimizing Aspects of Pedestrian Traffic in Building Designs, Samuel Rodriguez, Yinghua Zhang, Nicholas Gans, Nancy M. Amato, In Proc. IEEE Int. Conf. Intel. Rob. Syst. (IROS), Nov 2013.
    Proceedings(pdf, abstract)

    Improving Aggregate Behavior in Parking Lots with Appropriate Local Maneuvers, Samuel Rodriguez, Andrew Giese, Nancy M. Amato, In Proc. IEEE Int. Conf. Intel. Rob. Syst. (IROS), Nov 2013.
    Proceedings(pdf, abstract)

    Environmental Effect on Egress Simulation, Samuel Rodriguez, Andrew Giese, Nancy M. Amato, Saeid Zarrinmehr, Firas Al-Douri, Mark Clayton, In Proc. of the 5th Intern. Conf. on Motion in Games (MIG), 2012, in Lecture Notes in Computer Science (LNCS), pp. to appear, Rennes, Brittany, France, Nov 2012.
    Proceedings(ps, pdf, abstract)

    A Sampling-Based Approach to Probabilistic Pursuit Evasion, Aditya Mahadevan, Nancy M. Amato, In Proc. IEEE Int. Conf. Robot. Autom. (ICRA), pp. 3192 - 3199, St. Paul, Minnesota, USA, May 2012.
    Proceedings(pdf, abstract)

    Roadmap-Based Techniques for Modeling Group Behaviors in Multi-Agent Systems, Samuel Rodriguez, Ph.D. Thesis, Department of Computer Science and Engineering, Texas A&M University, Jan 2012.
    Ph.D. Thesis(ps, pdf, abstract)

    Roadmap-Based Level Clearing of Buildings, Samuel Rodriguez, Nancy M. Amato, In Proc. of the 4th Intern. Conf. on Motion in Games (MIG), 2011, in Lecture Notes in Computer Science (LNCS), pp. 340-352, Edinburgh, UK, Oct 2011.
    Proceedings(ps, pdf, abstract)

    Toward Realistic Pursuit-Evasion Using a Roadmap-Based Approach, Samuel Rodriguez, Jory Denny, Juan Burgos, Aditya Mahadevan, Kasra Manavi, Luke Murray, Anton Kodochygov, Takis Zourntos, Nancy M. Amato, In Proc. IEEE Int. Conf. Robot. Autom. (ICRA), pp. 1738-1745, May 2011.
    Proceedings(ps, pdf, abstract)

    Roadmap-Based Pursuit-Evasion in 3D Structures, Samuel Rodriguez, Jory Denny, Aditya Mahadevan, Jeremy (Cong-Trung) Vu, Juan Burgos, Takis Zourntos, Nancy M. Amato, In Proc. of 24th Intern. Conf. on Computer Animation and Social Agents (CASA), 2011, in Transactions on Edutainment, pp. to appear, May 2011.
    Proceedings(ps, pdf, abstract)

    Utilizing Roadmaps in Evacuation Planning, Samuel Rodriguez, Nancy M. Amato, In Proc. of 24th Intern. Conf. on Computer Animation and Social Agents (CASA), 2011, in Intern. J. of Virtual Reality (IJVR), pp. 67-73, May 2011.
    Proceedings(ps, pdf, abstract)

    Toward Simulating Realistic Pursuit-Evasion Using a Roadmap-Based Approach, Samuel Rodriguez, Jory Denny, Takis Zourntos, Nancy M. Amato, In Proc. of the 3rd Intern. Conf. on Motion in Games (MIG), 2010, in Lecture Notes in Computer Science (LNCS), pp. 82-93, Nov 2010.
    Proceedings(ps, pdf, abstract)

    Behavior-Based Evacuation Planning, Sam Rodriguez, Nancy M. Amato, In Proc. IEEE Int. Conf. Robot. Autom. (ICRA), pp. 350-355, Anchorage, AK, May 2010.
    Proceedings(ps, pdf, abstract)

    A Framework for Planning Motion in Environments with Moving Obstacles, Sam Rodriguez, Jyh-Ming Lien, Nancy M. Amato, In Proc. IEEE Int. Conf. Intel. Rob. Syst. (IROS), pp. 3309-3314, Oct 2007.
    Proceedings(ps, pdf, abstract)

    Swarming Behavior Using Probabilistic Roadmap Techniques, O. Burchan Bayazit, Jyh-Ming Lien, Nancy M. Amato, Lecture Notes in Computer Science, 3342/2005:112-125, Jan 2005.
    Journal(ps, pdf, abstract)

    Shepherding Behaviors, Jyh-Ming Lien, O. Burchan Bayazit, Ross T. Sowell, Samuel Rodriguez, Nancy M. Amato, In Proc. IEEE Int. Conf. Robot. Autom. (ICRA), pp. 4159-4164, New Orleans, Apr 2004. Also, Technical Report, TR03-006, Parasol Laboratory, Department of Computer Science, Texas A&M University, Nov 2003.
    Proceedings(ps, pdf, abstract) Technical Report(ps, pdf, abstract)

    Better Group Behaviors using Rule-Based Roadmaps, O. Burchan Bayazit, Jyh-Ming Lien, Nancy M. Amato, In Proc. Int. Wkshp. on Alg. Found. of Rob. (WAFR), pp. 95-111, Nice, France, Dec 2002.
    Proceedings(ps, pdf, abstract)

    Roadmap-Based Flocking for Complex Environments, O. Burchan Bayazit, Jyh-Ming Lien, Nancy M. Amato, In Proc. Pacific Conf. on Computer Graphics and App. (PG), pp. 104-113, Beijing, China, Oct 2002. Also, Technical Report, TR02-003, Parasol Laboratory, Department of Computer Science, Texas A&M University, Apr 2002.
    Proceedings(ps, pdf, abstract) Technical Report(ps, pdf, abstract)


    Parasol Home | Research | People | General info | Seminars | Resources  

    Parasol Laboratory, 425 Harvey R. Bright Bldg, 3112 TAMU, College Station, TX 77843-3112 
    parasol-admin@cse.tamu.edu      Phone 979.458.0722     Fax 979.458.0718 

    Department of Computer Science and Engineering | Dwight Look College of Engineering Dwight Look College of Engineering | Texas A&M University
        
    Privacy statement: Computer Science and Engineering Engineering TAMU
    Web Accessibility Policy and Law - Web Accessibility and Usability Standards  -   Contact Webmaster