Abstract
In this paper, we suggest that one of the more crucial tasks currently facing researchers into the field of autonomous mobile robotics is the provision of a common task, or set of tasks, as a means of evaluating different approaches to robot design and architecture, and the generation of a common set of experimental frameworks to facilitate these different approaches. This paper stars with a brief introduction to the field, and behavior-based control in particular. We then discuss the issue of animal versus robot behavior, and focus on simulated experimentation versus embodied robotics. Finally, we move to the feasibility of evaluating and benchmarking different architectures, with the aim of producing mobile robots of continuously higher utility, with specific reference to our current four-layered robot control architecture.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.References
Cliff D, Miller GF (1996) Co-evolution of pursuit and evasion. II. Simulation methods and results. In: 4th International Conference on the Simulation of Adaptive Behaviour (SAB'96), MIT Press, Cape Cod p 506–515
Collins JJ, Eaton M (1999) Open issues in the design and synthesis of intelligent robot control architectures. Proceedings of the 10th Irish Conference on Artificial Intelligence and Cognitive Science, University College Cork, Cork p 108–116
Saffiotti A (1997) The uses of fuzzy logic in autonomous robot navigation. Soft Computing 1 (4): 180–197.
Arkin R (1998) Behaviour-based robotics, MIT Press, Cambridge
Connell J (1992) SSS: a hybrid architecture applied to robot navigation. Proceedings of the 1992 IEEE International Conference on Robotics and Automation, IEEE Press Nice, p 2719–2724
Gat E (1991) Integrating reaction and planning in a heterogeneous asynchronous architecture for mobile robot navigation. SIGART Bull 2(4):70–74
Brooks R (1991) New approaches to robotics. Science 253:1227–1232
Gat E (1995) Towards a principled experimental study of autonomous mobile robots. Autonomous Rob 2:179–189
Floreano D, Mondada F (1998) Hardware solutions for evolutionary robotics. In: Evolutionary Robotics. Proceedings of the 1st European Workshop, Springer Verlag LNCS 1468, p 137–151
Miller GF (1995) Artificial life as theoretical biology: how to do real science with computer simulation. University of Sussex, CSRP 378
Brooks R (1992) Artificial life and real robots, In: 1st European Conference on Artificial Life, MIT Press, Cambridge, p 3–10
Kitano H, Asada M, Kuniyoshi Y, et al. (1995) Robo Cup: the robot world cup initiative. IJCAI-95 Workshop on Entertainment and AI/Alife, Morgan Kaufman, Montreal
De Garis H (1989) what if AI succeeds? The rise of the twenty-first century artilect. Artificial Intelligence Magazine (cover story), Summer
Sipper M, Sanchez E, Mange D, et al. (1997) A phylogenetic, ontogenetic, and epigenetic view of bio-inspired hardware systems. IEEE Trans Evol Comput 1 (1): 83–97.
Floreano D, Urzelai J (2000) Evolutionary robotics: the next generation. In: Gomi T (ed) Evolutionary robotics. III. AAI Books, Ontario
Thrun S, Bucken A, Burgard W et al. (1998) Map learning and high-speed navigation in RHINO. In: Kortenkamp D, Bonasso RP, Murphy R (eds) Artificial intelligence and mobile robots. AAAI/MIT Press, Menlo Park, California, Cambridge, Massachusetts, London, p 21–52
Koenig S, Simmons RG (1998) Xavier: a robot navigation architecture based on partially observable markov decision process models. In: Kortenkamp D, Bonasso RP, Murphy R (eds) Artificial intelligence and mobile robots. AAAI/MIT Press, Menlo-Park, California, Cambridge, Massachusetts, London, p 91–112
Gat E (1998) Three-layer Architectures. In: Kortenkamp YD, Bonasso RP, Murphy R (eds) Artificial intelligence and mobile robots. AAAI/MIT Press, Menlo Park, California, Cambridge, Massachusetts, London, p 195–210
Brooks R (1986) A robust layered control system for a mobile robot. IEEE Trans Rob Autom, 2:14–23
Konolige K, Myers K (1998) The Saphira architecture for automomous mobile robots. In: Kortenkamp D, Bonasso RP, Murphy R (eds) Artificial intelligence and mobile robots. AAAI/MIT Press, Menlo Park, California, Cambridge, Massachusetts, London, p 211–242
Xiao J, Michalewicz ZL, Zhang L, et al. (1997) Adaptive evolutionary planner/navigator for mobile robots. IEEE Trans Evol Comput 1(1):18–28
Collins JJ, Sheehan L, Casey C (1998) Evolutionary path generation for navigation in mobile robots. In: 7th European Workshop on Robot Learing (EWLR98), University Edinburgh, Edinburgh, p 1–12
Collins, JJ, Eaton M, Sheehan L, et al. (1999) Four-layered robot control architecture In: Proceedings of the 5th International Symposium on Artificial Life and Robotics, Oita University, Oita 1:347–350
Author information
Authors and Affiliations
Corresponding author
About this article
Cite this article
Eaton, M., Collins, J.J. & Sheehan, L. Toward a benchmarking framework for research into bio-inspired hardware-software artefacts. Artif Life Robotics 5, 40–45 (2001). https://doi.org/10.1007/BF02481319
Received:
Accepted:
Issue Date:
DOI: https://doi.org/10.1007/BF02481319