Year |
Citation |
Score |
2023 |
Carvalho JT, Nolfi S. The Role of Morphological Variation in Evolutionary Robotics: Maximizing Performance and Robustness. Evolutionary Computation. 1-18. PMID 37390220 DOI: 10.1162/evco_a_00336 |
0.341 |
|
2022 |
Nolfi S. Progress and challenges in adaptive robotics. Frontiers in Robotics and Ai. 9: 1020462. PMID 36353578 DOI: 10.3389/frobt.2022.1020462 |
0.412 |
|
2022 |
Milano N, Nolfi S. Phenotypic complexity and evolvability in evolving robots. Frontiers in Robotics and Ai. 9: 994485. PMID 36267423 DOI: 10.3389/frobt.2022.994485 |
0.368 |
|
2019 |
Pezzulo G, Nolfi S. Making the Environment an Informative Place: A Conceptual Analysis of Epistemic Policies and Sensorimotor Coordination. Entropy (Basel, Switzerland). 21. PMID 33267064 DOI: 10.3390/E21040350 |
0.315 |
|
2019 |
Pagliuca P, Nolfi S. Robust optimization through neuroevolution. Plos One. 14: e0213193. PMID 30822316 DOI: 10.1371/Journal.Pone.0213193 |
0.366 |
|
2019 |
Milano N, Carvalho JT, Nolfi S. Moderate Environmental Variation across Generations Promotes the Evolution of Robust Solutions. Artificial Life. 1-19. PMID 30681913 DOI: 10.1162/Artl_A_00274 |
0.344 |
|
2019 |
Tani J, Nolfi S. Learning to perceive the world as articulated: an approach for hierarchical learning in sensory-motor systems. Neural Networks : the Official Journal of the International Neural Network Society. 12: 1131-1141. PMID 12662649 DOI: 10.1016/S0893-6080(99)00060-X |
0.402 |
|
2018 |
Pagliuca P, Milano N, Nolfi S. Maximizing adaptive power in neuroevolution. Plos One. 13: e0198788. PMID 30020942 DOI: 10.1371/Journal.Pone.0198788 |
0.305 |
|
2016 |
André JB, Nolfi S. Evolutionary robotics simulations help explain why reciprocity is rare in nature. Scientific Reports. 6: 32785. PMID 27616139 DOI: 10.1038/srep32785 |
0.405 |
|
2016 |
Carvalho JT, Nolfi S. Cognitive Offloading Does Not Prevent but Rather Promotes Cognitive Development. Plos One. 11: e0160679. PMID 27505162 DOI: 10.1371/Journal.Pone.0160679 |
0.398 |
|
2016 |
Janssen R, Nolfi S, Haselager P, Sprinkhuizen-Kuyper I. Cyclic Incrementality in Competitive Coevolution: Evolvability through Pseudo-Baldwinian Switching-Genes. Artificial Life. 319-352. PMID 27472415 DOI: 10.1162/Artl_A_00208 |
0.301 |
|
2016 |
Carvalho JT, Nolfi S. Behavioural plasticity in evolving robots. Theory in Biosciences = Theorie in Den Biowissenschaften. 135: 201-216. PMID 27443311 DOI: 10.1007/S12064-016-0233-Y |
0.475 |
|
2016 |
Nolfi S, Carvalho JT. Functional Modularity Enables the Realization of Smooth and Effective Behavior Integration Artificial Life. 160-167. DOI: 10.7551/978-0-262-33936-0-Ch033 |
0.38 |
|
2016 |
Lyon C, Nehaniv CL, Saunders J, Belpaeme T, Bisio A, Fischer K, Förster F, Lehmann H, Metta G, Mohan V, Morse A, Nolfi S, Nori F, Rohlfing K, Sciutti A, et al. Embodied Language Learning and Cognitive Bootstrapping: Methods and Design Principles International Journal of Advanced Robotic Systems. 13: 105. DOI: 10.5772/63462 |
0.677 |
|
2016 |
Carvalho JT, Nolfi S. Behavioural plasticity in evolving robots Theory in Biosciences. 1-16. DOI: 10.1007/s12064-016-0233-y |
0.374 |
|
2015 |
Liò P, Miglino O, Nicosia G, Nolfi S, Pavone M. Advances in Artificial Life: Synthesis and Simulation of Living Systems: Editorial. Artificial Life. 21: 395-397. PMID 26545158 DOI: 10.1162/Artl_E_00189 |
0.341 |
|
2015 |
Simione L, Nolfi S. Selection-for-action emerges in neural networks trained to learn spatial associations between stimuli and actions. Cognitive Processing. 16: 393-7. PMID 26232191 DOI: 10.1007/S10339-015-0679-8 |
0.357 |
|
2015 |
Morlino G, Gianelli C, Borghi AM, Nolfi S. Learning to manipulate and categorize in human and artificial agents. Cognitive Science. 39: 39-64. PMID 25041751 DOI: 10.1111/Cogs.12130 |
0.383 |
|
2015 |
Pagliuca P, Nolfi S. Integrating learning by experience and demonstration in autonomous robots Adaptive Behavior. 23: 300-314. DOI: 10.1177/1059712315608424 |
0.461 |
|
2015 |
Cangelosi A, Bongard J, Fischer MH, Nolfi S. Embodied intelligence Springer Handbook of Computational Intelligence. 697-714. DOI: 10.1007/978-3-662-43505-2_37 |
0.544 |
|
2014 |
Broz F, Nehaniv CL, Belpaeme T, Bisio A, Dautenhahn K, Fadiga L, Ferrauto T, Fischer K, Förster F, Gigliotta O, Griffiths S, Lehmann H, Lohan KS, Lyon C, Marocco D, ... ... Nolfi S, et al. The ITALK project: a developmental robotics approach to the study of individual, social, and linguistic learning. Topics in Cognitive Science. 6: 534-44. PMID 24934294 DOI: 10.1111/Tops.12099 |
0.66 |
|
2014 |
Massera G, Ferrauto T, Gigliotta O, Nolfi S. Designing adaptive humanoid robots through the FARSA open-source framework Adaptive Behavior. 22: 255-265. DOI: 10.1177/1059712314536909 |
0.528 |
|
2014 |
Simione L, Nolfi S. The role of selective attention and action selection in the development of multiple action capabilities Connection Science. 26: 389-402. DOI: 10.1080/09540091.2014.942597 |
0.432 |
|
2014 |
Haasdijk E, Bredeche N, Nolfi S, Eiben AE. Evolutionary robotics Evolutionary Intelligence. 7: 69-70. DOI: 10.1007/s12065-014-0113-7 |
0.419 |
|
2014 |
Gigliotta O, Mirolli M, Nolfi S. Communication based dynamic role allocation in a group of homogeneous robots Natural Computing. 13: 391-402. DOI: 10.1007/S11047-014-9443-8 |
0.513 |
|
2013 |
Petrosino G, Parisi D, Nolfi S. Selective attention enables action selection: Evidence from evolutionary robotics experiments Adaptive Behavior. 21: 356-370. DOI: 10.1177/1059712313487389 |
0.433 |
|
2013 |
Savastano P, Nolfi S. A Robotic Model of Reaching and Grasping Development Ieee Transactions On Autonomous Mental Development. 5: 326-336. DOI: 10.1109/Tamd.2013.2264321 |
0.461 |
|
2013 |
Dorigo M, Floreano D, Gambardella LM, Mondada F, Nolfi S, Baaboura T, Birattari M, Bonani M, Brambilla M, Brutschy A, Burnier D, Campo A, Christensen AL, Decugniere A, Di Caro G, et al. Swarmanoid: A novel concept for the study of heterogeneous robotic swarms Ieee Robotics and Automation Magazine. 20: 60-71. DOI: 10.1109/Mra.2013.2252996 |
0.51 |
|
2011 |
Gigliotta O, Pezzulo G, Nolfi S, Nolfi S. Evolution of a predictive internal model in an embodied and situated agent. Theory in Biosciences = Theorie in Den Biowissenschaften. 130: 259-76. PMID 21604186 DOI: 10.1007/S12064-011-0128-X |
0.366 |
|
2011 |
Trianni V, Nolfi S. Engineering the evolution of self-organizing behaviors in swarm robotics: a case study. Artificial Life. 17: 183-202. PMID 21554112 DOI: 10.1162/Artl_A_00031 |
0.502 |
|
2011 |
Pezzulo G, Baldassarre G, Cesta A, Nolfi S. Research on cognitive robotics at the Institute of Cognitive Sciences and Technologies, National Research Council of Italy. Cognitive Processing. 12: 367-74. PMID 21468745 DOI: 10.1007/S10339-011-0402-3 |
0.368 |
|
2011 |
Nolfi S. Co-evolving predator and prey robots Adaptive Behavior. 20: 10-15. DOI: 10.1177/1059712311426912 |
0.515 |
|
2011 |
Uno R, Marocco D, Nolfi S, Ikegami T. Emergence of Protosentences in Artificial Communicating Systems Ieee Transactions On Autonomous Mental Development. 3: 146-153. DOI: 10.1109/Tamd.2011.2120608 |
0.407 |
|
2011 |
Tuci E, Ferrauto T, Zeschel A, Massera G, Nolfi S. An Experiment on Behavior Generalization and the Emergence of Linguistic Compositionality in Evolving Robots Ieee Transactions On Autonomous Mental Development. 3: 176-189. DOI: 10.1109/Tamd.2011.2114659 |
0.391 |
|
2011 |
Sperati V, Trianni V, Nolfi S. Self-organised path formation in a swarm of robots Swarm Intelligence. 5: 97-119. DOI: 10.1007/S11721-011-0055-Y |
0.528 |
|
2010 |
Tuci E, Massera G, Nolfi S. Active Categorical Perception of Object Shapes in a Simulated Anthropomorphic Robotic Arm Ieee Transactions On Evolutionary Computation. 14: 885-899. DOI: 10.1109/Tevc.2010.2046174 |
0.49 |
|
2010 |
Cangelosi A, Metta G, Sagerer G, Nolfi S, Nehaniv C, Fischer K, Tani J, Belpaeme T, Sandini G, Nori F, Fadiga L, Wrede B, Rohlfing K, Tuci E, Dautenhahn K, et al. Integration of action and language knowledge: A roadmap for developmental robotics Ieee Transactions On Autonomous Mental Development. 2: 167-195. DOI: 10.1109/Tamd.2010.2053034 |
0.689 |
|
2010 |
Massera G, Tuci E, Ferrauto T, Nolfi S. The Facilitatory Role of Linguistic Instructions on Developing Manipulation Skills Ieee Computational Intelligence Magazine. 5: 33-42. DOI: 10.1109/Mci.2010.937321 |
0.526 |
|
2009 |
Trianni V, Nolfi S. Self-Organizing Sync in a Robotic Swarm: A Dynamical System View Ieee Transactions On Evolutionary Computation. 13: 722-741. DOI: 10.1109/Tevc.2009.2015577 |
0.499 |
|
2009 |
Baldassarre G, Nolfi S. Strengths and synergies of evolved and designed controllers: A study within collective robotics Artificial Intelligence. 173: 857-875. DOI: 10.1016/J.Artint.2009.01.001 |
0.524 |
|
2008 |
Gigliotta O, Nolfi S. On the Coupling Between Agent Internal and Agent/ Environmental Dynamics: Development of Spatial Representations in Evolving Autonomous Robots Adaptive Behavior. 16: 148-165. DOI: 10.1177/1059712308089184 |
0.525 |
|
2008 |
Miglino O, Gigliotta O, Ponticorvo M, Nolfi S. Breedbot: an evolutionary robotics application in digital content The Electronic Library. 26: 363-373. DOI: 10.1108/02640470810879509 |
0.519 |
|
2008 |
Sperati V, Trianni V, Nolfi S. Evolving coordinated group behaviours through maximisation of mean mutual information Swarm Intelligence. 2: 73-95. DOI: 10.1007/S11721-008-0017-1 |
0.518 |
|
2008 |
Trianni V, Nolfi S, Dorigo M. Evolution, Self-organization and Swarm Robotics Swarm Intelligence. 163-191. DOI: 10.1007/978-3-540-74089-6_5 |
0.382 |
|
2007 |
Massera G, Cangelosi A, Nolfi S. Evolution of prehension ability in an anthropomorphic neurorobotic arm. Frontiers in Neurorobotics. 1: 4. PMID 18958275 DOI: 10.3389/Neuro.12.004.2007 |
0.685 |
|
2007 |
Baldassarre G, Trianni V, Bonani M, Mondada F, Dorigo M, Nolfi S. Self-organized coordinated motion in groups of physically connected robots. Ieee Transactions On Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the Ieee Systems, Man, and Cybernetics Society. 37: 224-39. PMID 17278574 |
0.429 |
|
2007 |
Acerbi A, Nolfi S. Social learning and cultural evolution in embodied and situated agents Artificial Life. 333-340. DOI: 10.1109/Alife.2007.367814 |
0.342 |
|
2007 |
Marocco D, Nolfi S. Emergence of communication in embodied agents evolved for the ability to solve a collective navigation problem Connection Science. 19: 53-74. DOI: 10.1080/09540090601015067 |
0.468 |
|
2006 |
Baldassarre G, Parisi D, Nolfi S. Distributed coordination of simulated robots based on self-organization. Artificial Life. 12: 289-311. PMID 16859442 DOI: 10.1162/Artl.2006.12.3.289 |
0.521 |
|
2006 |
Trianni V, Nolfi S, Dorigo M. Cooperative hole avoidance in a swarm-bot Robotics and Autonomous Systems. 54: 97-103. DOI: 10.1016/J.Robot.2005.09.018 |
0.343 |
|
2005 |
Mondada F, Gambardella LM, Floreano D, Nolfi S, Deneubourg JL, Dorigo M. The cooperation of swarm-bots: Physical interactions in collective robotics Ieee Robotics and Automation Magazine. 12: 21-28. DOI: 10.1109/MRA.2005.1458313 |
0.382 |
|
2005 |
Nolfi S. Emergence of communication in embodied agents: co-adapting communicative and non-communicative behaviours Connection Science. 17: 231-248. DOI: 10.1080/09540090500177554 |
0.306 |
|
2004 |
Nolfi S. Behaviour as a Complex Adaptive System: On the Role of Self-Organization in the Development of Individual and Collective Behaviour Complexus. 2: 195-203. DOI: 10.1159/000093690 |
0.381 |
|
2004 |
Bianco R, Nolfi S. Toward open-ended evolutionary robotics: Evolving elementary robotic units able to self-assemble and self-reproduce Connection Science. 16: 227-248. DOI: 10.1080/09540090412331314759 |
0.481 |
|
2004 |
Dorigo M, Trianni V, Şahin E, Groß R, Labella TH, Baldassarre G, Nolfi S, Deneubourg JL, Mondada F, Floreano D, Gambardella LM. Evolving self-organizing behaviors for a swarm-bot Autonomous Robots. 17: 223-245. DOI: 10.1023/B:Auro.0000033973.24945.F3 |
0.38 |
|
2004 |
Mondada F, Pettinaro GC, Guignard A, Kwee IW, Floreano D, Deneubourg JL, Nolfi S, Gambardella LM, Dorigo M. Swarm-bot: A new distributed robotic concept Autonomous Robots. 17: 193-221. DOI: 10.1023/B:Auro.0000033972.50769.1C |
0.519 |
|
2003 |
Marocco D, Cangelosi A, Nolfi S. The emergence of communication in evolutionary robots. Philosophical Transactions. Series a, Mathematical, Physical, and Engineering Sciences. 361: 2397-421. PMID 14599325 DOI: 10.1098/Rsta.2003.1252 |
0.66 |
|
2003 |
Baldassarre G, Nolfi S, Parisi D. Evolving mobile robots able to display collective behaviors. Artificial Life. 9: 255-67. PMID 14556687 DOI: 10.1162/106454603322392460 |
0.519 |
|
2003 |
Bianco R, Nolfi S. Evolving the neural controller for a robotic arm able to grasp objects on the basis of tactile sensors Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 2829: 375-384. DOI: 10.1177/105971230401200102 |
0.512 |
|
2003 |
Baldassarre G, Nolfi S, Parisi D. Evolution of collective behavior in a team of physically linked robots Lecture Notes in Computer Science. 581-592. DOI: 10.1007/3-540-36605-9_53 |
0.524 |
|
2002 |
Nolfi S, Floreano D. Synthesis of autonomous robots through evolution. Trends in Cognitive Sciences. 6: 31-37. PMID 11849613 DOI: 10.1016/S1364-6613(00)01812-X |
0.539 |
|
2002 |
Nolfi S. Evolving robots able to self-localize in the environment: the importance of viewing cognition as the result of processes occurring at different time-scales Connection Science. 14: 231-244. DOI: 10.1080/09540090208559329 |
0.501 |
|
2002 |
Nolfi S. Power and the limits of reactive agents Neurocomputing. 42: 119-145. DOI: 10.1016/S0925-2312(01)00598-7 |
0.415 |
|
2001 |
Nolfi S, Marocco D. Evolving robots able to integrate sensory-motor information over time Theory in Biosciences. 120: 287-310. DOI: 10.1078/1431-7613-00046 |
0.36 |
|
2001 |
NOLFI S. Evolving Robots Able To Integrate Sensory-Motor Information Over Time Theory in Biosciences. 120: 287-310. DOI: 10.1078/1431-7613-00046 |
0.32 |
|
2000 |
Calabretta R, Nolfi S, Parisi D, Wagner GP. Duplication of modules facilitates the evolution of functional specialization. Artificial Life. 6: 69-84. PMID 10943666 DOI: 10.1162/106454600568320 |
0.363 |
|
1999 |
Nolfi S. How Learning and Evolution Interact: The Case of a Learning Task which Differs from the Evolutionary Task Adaptive Behavior. 7: 231-236. DOI: 10.1177/105971239900700205 |
0.335 |
|
1999 |
NOLFI S, TANI J. Extracting Regularities in Space and Time Through a Cascade of Prediction Networks: The Case of a Mobile Robot Navigating in a Structured Environment Connection Science. 11: 125-148. DOI: 10.1080/095400999116313 |
0.346 |
|
1999 |
Nolfi S, Floreano D. Learning and evolution Autonomous Robots. 7: 89-113. DOI: 10.1023/A:1008973931182 |
0.373 |
|
1998 |
Nolfi S, Floreano D. Coevolving predator and prey robots: do "arms races" arise in artificial evolution? Artificial Life. 4: 311-35. PMID 10352236 DOI: 10.1162/106454698568620 |
0.452 |
|
1998 |
Nolfi S. Evolutionary Robotics: Exploiting the Full Power of Self-organization Connection Science. 10: 167-184. DOI: 10.1080/095400998116396 |
0.518 |
|
1998 |
Nolfi S, Floreano D. How Co-Evolution can Enhance the Adaptive Power of Artificial Evolution: Implications for Evolutionary Robotics Lecture Notes in Computer Science. 22-38. DOI: 10.1007/3-540-64957-3_62 |
0.439 |
|
1997 |
Miglino O, Lund HH, Nolfi S. Evolving mobile robots in simulated and real environments. Artificial Life. 2: 417-34. PMID 8942055 DOI: 10.1162/Artl.1995.2.417 |
0.54 |
|
1997 |
Nolfi S. Using Emergent Modularity to Develop Control Systems for Mobile Robots Adaptive Behavior. 5: 343-363. DOI: 10.1177/105971239700500306 |
0.541 |
|
1997 |
Nolfi S. Evolving non-trivial behaviors on real robots: A garbage collecting robot Robotics and Autonomous Systems. 22: 187-198. DOI: 10.1016/S0921-8890(97)00038-9 |
0.527 |
|
1996 |
Nolfi S, Parisi D. Learning to Adapt to Changing Environments in Evolving Neural Networks Adaptive Behavior. 5: 75-98. DOI: 10.1177/105971239600500104 |
0.37 |
|
1994 |
Nolfi S, Parisi D, Elman JL. Learning and Evolution in Neural Networks Adaptive Behavior. 3: 5-28. DOI: 10.1177/105971239400300102 |
0.351 |
|
1994 |
Cangelosi A, Parisi D, Nolfi S. Cell division and migration in a ‘genotype’ for neural networks Network: Computation in Neural Systems. 5: 497-515. DOI: 10.1088/0954-898X/5/4/005 |
0.557 |
|
1994 |
Nolfi S, Parisi D. Good teaching inputs do not correspond to desired responses in ecological neural networks Neural Processing Letters. 1: 1-4. DOI: 10.1007/Bf02310934 |
0.331 |
|
1990 |
Parisi D, Cecconi F, Nolfi S. Econets: Neural networks that learn in an environment Network: Computation in Neural Systems. 1: 149-168. DOI: 10.1088/0954-898X_1_2_003 |
0.369 |
|
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