Abstract
Interest in humanoid robots has increased significantly in recent years. Improved core technologies have led to the construction of such systems becoming increasingly feasible for more reasonable costs. As a result, various research laboratories and other organisations have developed custom humanoid systems (e.g. Sakagami et al. 2002; Sandini et al. 2007; Elumotion 2010; Guizzo 2010; Park et al. 2006; Kaneko et al. 2008; Willow Garage 2009; Nelson et al. 2012; Dynamics 2010). Such is the progression of the core technologies (e.g. actuators, power supplies, sensors and processors) that fully programmable and reconfigurable miniature humanoid robots are commercially available within the budget of at-home hobbyists (Hitec 2010; Robotis 2010). High-profile international events such as the DARPA Robotics Challenge (DARPA 2015; Guizzo and Ackerman 2015), and competitions held at robotics conferences, provide an illustration of the complexity and diversity of cutting-edge humanoid robotics research at the present moment.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Arbib M, Metta G, van der Smagt PP (2008) Neurorobotics: from vision to action. In: Siciliano B, Khatib O (eds) Springer handbook of robotics. Springer, Berlin, pp 1453–1480
Bicchi A, Peshkin M, Colgate J (2008) Safety for physical human-robot interaction. In: Siciliano B, Khatib O (eds) Springer handbook of robotics. Springer, Berlin, pp 1335–1348
Bluethmann W, Ambrose R, Diftler M, Askew S, Huber E, Goza M, Rehnmark F, Lovchik C, Magruder D (2003) Robonaut: a robot designed to work with humans in space. Auton Robots 14(2):179–197
Breazeal C (2004) Social interactions in HRI: the robot view. IEEE Trans Syst Man Cybern Part C: Appl Rev 34(2):181–186. doi:10.1109/TSMCC.2004.826268
DARPA (2015) The robotics challenge. http://www.theroboticschallenge.org/. Accessed 05 Sept 15
De Sapio V, Warren J, Khatib O, Delp S (2005) Simulating the task-level control of human motion: a methodology and framework for implementation. Visual Comput 21(5):289–302
De Sapio V, Warren J, Khatib O (2006) Predicting reaching postures using a kinematically constrained shoulder model. Adv Robot Kinemat 3:209–218
Dynamics B (2010) Atlas: the agile anthropomorphic robot. [Online] http://www.bostondynamics.com/robot_Atlas.html. Accessed 23 Sept 15
Elumotion (2010) Elumotion website. http://www.elumotion.com/. Accessed 04 Oct 10
European Committee for Standardization (1992) CEN EN 775 – Manipulating Industrial Robots – Safety; (ISO 10218:1992 Modified)
Farah M, Rabinowitz C, Quinn G, Liu G (2000) Early commitment of neural substrates for face recognition. Cogn Neuropsychol 17(1):117–123
Guizzo E (2010) Iran’s humanoid robot Surena 2 walks, stands on one leg – IEEE Spectrum. http://spectrum.ieee.org/automaton/robotics/humanoids/iran-humanoid-robot-surena-2-walks-stands-on-one-leg
Guizzo E, Ackerman E (2015) The hard lessons of DARPA’s robotics challenge [News]. IEEE Spectr 52(8):11–13
Health and Safety Executive (2000) HSG43 industrial robot safety: your guide to the safeguarding of industrial robots. HSE Books, Sudbury
Hersch M, Billard A (2006) A model for imitating human reaching movements. In: Proceedings of the 1st ACM SIGCHI/SIGART conference on human-robot interaction. ACM, New York, p 342
Hitec (2010) Robonova official website. http://www.robonova.com/. Accessed 23 Oct 15
International Organization for Standards (2012) ISO 8373:2012 – Robots and robotic devices – Vocabulary
Kaneko K, Harada K, Kanehiro F, Miyamori G, Akachi K (2008) Humanoid robot HRP-3. In: 2008 IEEE/RSJ international conference on intelligent robots and systems (IROS 2008). IEEE, Hamburg, pp 2471–2478
Kemp C, Fitzpatrick P, Hirukawa H, Yokoi K, Harada K, Matsumoto Y (2008) Humanoids. In: Siciliano B, Khatib O (eds) Springer handbook of robotics. Springer, Berlin/Heidelberg, pp 1307–1333
Khan S, Herrmann G, Pipe T, Melhuish C, Spiers A (2010) Safe adaptive compliance control of a humanoid robotic arm with anti-windup compensation and posture control. Int J Soc Robot 2(3):305–319
Khan SG, Herrmann G, Lenz A, Al Grafi M, Pipe AG, Melhuish CR (2014) Compliance control and human-robot interaction: Part (ii) – experimental examples. Int J Humanoid Robot 11(3). doi:10.1142/S0219843614300025
Lacquaniti F, Soechting J (1982) Coordination of arm and wrist motion during a reaching task. J Neurosci 2(4):399–408
Macnab R (1999) The bacterial flagellum: reversible rotary propellor and type (iii) export apparatus. J Bacteriol 181(23):7149
Matsui D, Minato T, MacDorman K, Ishiguro H (2005) Generating natural motion in an android by mapping human motion. In: 2005 IEEE/RSJ international conference on intelligent robots and systems, 2005 (IROS 2005). IEEE, Edmonton, pp 3301–3308
Metta G, Sandini G, Vernon D, Natale L, Nori F (2008) The iCub humanoid robot: an open platform for research in embodied cognition. In: Proceedings of the 8th workshop on performance metrics for intelligent systems. ACM, New York, pp 50–56
Minato T, Shimada M, Ishiguro H, Itakura S (2004) Development of an android robot for studying human-robot interaction. In: Orchard B, Yang C, Ali M (eds) Innovations in applied artificial intelligence. Lecture notes in computer science, vol 3029. Springer, Berlin/New York, pp 424–434
Nagatani K, Kiribayashi S, Okada Y, Otake K, Yoshida K, Tadokoro S, Nishimura T, Yoshida T, Koyanagi E, Fukushima M et al (2013) Emergency response to the nuclear accident at the fukushima daiichi nuclear power plants using mobile rescue robots. J Field Robot 30(1):44–63
Nelson G, Saunders A, Neville N, Swilling B, Bondaryk J, Billings D, Lee C, Playter R, Raibert M (2012) Petman: a humanoid robot for testing chemical protective clothing. Robot Soc Jpn 30(4):372–377
Park I, Kim J, Lee J, Oh J (2006) Mechanical design of humanoid robot platform KHR-3 (KAIST humanoid robot 3: HUBO). In: 2005 5th IEEE-RAS international conference on humanoid robots. IEEE, Tsukuba, pp 321–326
Robotis (2010) Bioloid official website. www.robotis.com/xe/bioloid_en. Accessed 23 Sept 15
Sakagami Y, Watanabe R, Aoyama C, Matsunaga S, Higaki N, Fujimura K (2002) The intelligent ASIMO: System overview and integration. In: 2002 IEEE/RSJ international conference on intelligent robots and systems, vol 3. IEEE, Lausanne, pp 2478–2483
Sandini G, Metta G, Vernon D (2007) The iCub cognitive humanoid robot: an open-system research platform for enactive cognition. In: Lungarella M, Iida F, Bongard J, Pfeifer R (eds) 50 years of artificial intelligence. Lecture notes in computer science, vol 4850. Springer, Berlin/Heidelberg, pp 358–369
Tellez R, Ferro F, Garcia S, Gomez E, Jorge E, Mora D, Pinyol D, Oliver J, Torres O, Velazquez J et al (2009) Reem-B: an autonomous lightweight human-size humanoid robot. In: 8th IEEE-RAS international conference on humanoid robots (Humanoids 2008). IEEE, Daejeon, pp 462–468
Todorov E (2004) Optimality principles in sensorimotor control. Nat Neurosci 7(9):907–915
Willow Garage (2009) Overview of the PR2 robot. http://www.willowgarage.com/pages/pr2/overview. First Accessed 12 Jan 11
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Spiers, A., Khan, S.G., Herrmann, G. (2016). Introduction. In: Biologically Inspired Control of Humanoid Robot Arms. Springer, Cham. https://doi.org/10.1007/978-3-319-30160-0_1
Download citation
DOI: https://doi.org/10.1007/978-3-319-30160-0_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-30158-7
Online ISBN: 978-3-319-30160-0
eBook Packages: EngineeringEngineering (R0)