Skip to main content

Semantic Path Planning for Indoor Navigation and Household Tasks

  • Conference paper
  • First Online:
Towards Autonomous Robotic Systems (TAROS 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11650))

Included in the following conference series:

Abstract

Assisting people with daily living tasks in their own homes with a robot requires a navigation through a cluttered and varying environment. Sometimes the only possible path would be blocked by an obstacle which needs to be moved away but not into other obstructing regions like the space required for opening a door. This paper presents semantic assisted path planning in which a gridded semantic map is used to improve navigation among movable obstacles (NAMO) and partially plan simple household tasks like cleaning a carpet or moving objects to another location. Semantic planning allows the execution of tasks expressed in human-like form instead of mathematical concepts like coordinates. In our numerical experiments, spatial planning was completed well within a typical human-human dialogue response time, allowing for an immediate response by the robot.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 59.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 79.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Deeken, H., Wiemann, T., Lingemann, K., Hertzberg, J.: SEMAP - a semantic environment mapping framework. In: 2015 European Conference on Mobile Robots (ECMR), pp. 1–6. IEEE, September 2015. https://doi.org/10.1109/ECMR.2015.7324176. http://ieeexplore.ieee.org/document/7324176/

  2. Kaelbling, L.P., Lozano-Pérez, T.: Hierarchical task and motion planning in the now. In: Proceedings - IEEE International Conference on Robotics and Automation, pp. 1470–1477 (2011). https://doi.org/10.1109/ICRA.2011.5980391

  3. Karaman, S., Frazzoli, E.: Sampling-Based Algorithms for Optimal Motion Planning, May 2011. http://arxiv.org/abs/1105.1186

  4. LaValle, S.M.: Rapidly-exploring random trees: a new tool for path planning. Technical report (1998). http://msl.cs.uiuc.edu/~lavalle/papers/Lav98c.pdf

  5. Li, R., Gu, D., Liu, Q., Long, Z., Hu, H.: Semantic scene mapping with spatio-temporal deep neural network for robotic applications. Cognitive Comput. 10(2), 260–271 (2018). https://doi.org/10.1007/s12559-017-9526-9

    Article  Google Scholar 

  6. Martinez-Martin, E., del Pobil, A.P.: Personal robot assistants for elderly care: an overview. In: Costa, A., Julian, V., Novais, P. (eds.) Personal Assistants: Emerging Computational Technologies. ISRL, vol. 132, pp. 77–91. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-62530-0_5

    Chapter  Google Scholar 

  7. Sun, N., Yang, E., Corney, J., Y.C., Ma, Z.: Semantic enhanced navigation among movable obstacles in the home environment. In: Embedded Intelligence: Enabling & Supporting RAS Technologies, pp. 68–71 (2019). https://www.ukras.org/wp-content/uploads/2019/03/UKRAS19-Proceedings-Final.pdf

  8. Petr Masek, M.R.: A task planner for autonomous mobile robot based on semantic network in advances. Adv. Intell. Syst. Comput. 393, 634–639 (2016)

    Google Scholar 

  9. Stilman, M., Kuffner, J.J.: Navigation among movable obstacles: real-time reasoning in complex environments. Technical report. https://smartech.gatech.edu/bitstream/handle/1853/36417/stilman-ijhr2005.pdf

  10. Strömbergsson, S., Hjalmarsson, A., Edlund, J., House, D.: Timing responses to questions in dialogue. In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, pp. 2584–2588 (2013)

    Google Scholar 

  11. Sun, H., Meng, Z., Ang, M.H.: Semantic mapping and semantics-boosted navigation with path creation on a mobile robot. In: 2017 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM), pp. 207–212. IEEE, November 2017. https://doi.org/10.1109/ICCIS.2017.8274775. http://ieeexplore.ieee.org/document/8274775/

  12. Tenorth, M., Kunze, L., Jain, D., Beetz, M.: KNOWROB-MAP - knowledge-linked semantic object maps. In: 2010 10th IEEE-RAS International Conference on Humanoid Robots, pp. 430–435. IEEE, December 2010. https://doi.org/10.1109/ICHR.2010.5686350. http://ieeexplore.ieee.org/document/5686350/

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Erfu Yang or Yi Chen .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Sun, N., Yang, E., Corney, J., Chen, Y. (2019). Semantic Path Planning for Indoor Navigation and Household Tasks. In: Althoefer, K., Konstantinova, J., Zhang, K. (eds) Towards Autonomous Robotic Systems. TAROS 2019. Lecture Notes in Computer Science(), vol 11650. Springer, Cham. https://doi.org/10.1007/978-3-030-25332-5_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-25332-5_17

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-25331-8

  • Online ISBN: 978-3-030-25332-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics