1. JD West, J Mici, JF Jaquith, H Lipson. Design and optimization of millimeter-scale electroadhesive grippers.  Journal of Physics D: Applied Physics 53 (43), 435302.
2. Mici J, Ko J W, West J and Lipson H., Parallel electrostatic grippers for layered assembly Journal of Additive Manufacturing. 27 451–60.
3. Blutinger, J.D., Meijers, Y., Lipson, H. (2019). Selective laser broiling of Atlantic salmon. Food Research International​.
4. ​Kwatkowski, R., Lipson, H. (2019). Task-agnostic self-modeling machines. Science Robotics.
5. Stute, F., Mici, J., Chamberlain, L., Lipson, H. (2018). Digital wood: 3D internal color texture mapping. 3D Printing and Additive Manufacturing, 5 (4), 285-291.
6. Blutinger, J.D., Meijers, Y., Chen, P.Y., Zheng, C., Grinspun, E., & Lipson, H. (2018). Characterization of CO2 laser browning of dough. Innovative Food Science & Emerging Technologies.
7. Hertafeld, E., Zhang, C., Jin, Z., Jakub, A., Russell, K., Lakehal, Y., Andreyeva, K., Bangalore, S.N., Mezquita, J., Blutinger, J.D., Lipson, H. (2018). Multi-material three-dimensional food printing with simultaneous infrared cooking. 3D Printing and Additive Manufacturing.
8. Chen, P.Y., Blutinger, J.D., Meijers, Y., Zheng, C., Grinspun, E., & Lipson, H. (2019). Visual modeling of laser-induced dough browning. Journal of Food Engineering, 243, 9-21.
9. Blutinger, J.D., Meijers, Y., Chen, P.Y., Zheng, C., Grinspun, E., & Lipson, H. (2018). Characterization of dough baked via blue laser. Journal of Food Engineering, 232, 56-64.
10. Ensemble Model Patching: A Parameter-Efficient Variational Bayesian Neural Network, O Chang, Y Yao, D Williams-King, H Lipson, arXiv preprint arXiv:1905.09453, 2019
11. Predicting the accuracy of neural networks from final and intermediate layer outputs, C DeChant, S Han, H Lipson
12. Agent Embeddings: A Latent Representation for Pole-Balancing Networks.. O Chang, R Kwiatkowski, S Chen, H Lipson, Proceedings of the 18th International Conference on Autonomous Agents and …, 2019
13. Parallel electrostatic grippers for layered assembly, J Mici, JW Ko, J West, J Jaquith, H Lipson Additive Manufacturing 27, 451-460, 2019
14. Robots on the run, H Lipson Nature, 2019
15. Particle robotics based on statistical mechanics of loosely coupled components S Li, R Batra, D Brown, HD Chang, N Ranganathan, C Hoberman, D Rus, H. Lipson, Nature 567 (7748), 361, 2019 (supporting materials)
16. Conductive Fabric Heaters for Heat-Activated Soft Actuators, M Cartolano, B Xia, A Miriyev, H Lipson Actuators 8 (1), 9, 2019
17. Characterization of CO2 laser browning of dough, JD Blutinger, Y Meijers, PY Chen, C Zheng, E Grinspun, H Lipson, Innovative Food Science & Emerging Technologies 52, 145-157, 2019
18. Multi-material three-dimensional food printing with simultaneous infrared cooking, E Hertafeld, C Zhang, Z Jin, A Jakub, K Russell, Y Lakehal, K Andreyeva, H Lipson,  3D Printing and Additive Manufacturing 6 (1), 13-19, 2019
19. Seven Myths in Machine Learning Research, O Chang, H Lipson arXiv preprint arXiv:1902.06789, 2019
20. Visual modeling of laser-induced dough browning, PY Chen, JD Blutinger, Y Meijers, C Zheng, E Grinspun, H Lipson Journal of food engineering 243, 9-21, 2019
21. Task-agnostic self-modeling machines R Kwiatkowski, H Lipson Science Robotics 4 (26), eaau9354, 2019
22. Digital Wood: 3D Internal Color Texture Mapping F Stute, J Mici, L Chamberlain, H Lipson, 3D Printing and Additive Manufacturing 5 (4), 285-291, 2018,
23. Image set for deep learning: field images of maize annotated with disease symptoms T Wiesner-Hanks, EL Stewart, N Kaczmar, C DeChant, H Wu, RJ Nelson,  BMC research notes 11 (1), 440, 2018
24. Balanced and Deterministic Weight-Sharing Helps Network Performance, O Chang, H Lipson International Conference on Artificial Neural Networks, 41-50, 2018
25. Characterization of dough baked via blue laser, JD Blutinger, Y Meijers, PY Chen, C Zheng, E Grinspun, H Lipson Journal of food engineering 232, 56-64, 2018
26. Autostacker: A compositional evolutionary learning system, B Chen, H Wu, W Mo, I Chattopadhyay, H Lipson, Proceedings of the Genetic and Evolutionary Computation Conference, 402-409, 2018
27. Neural network quine, O Chang, H Lipson, Artificial Life Conference Proceedings, 234-241, 2018
28. Scalable co-optimization of morphology and control in embodied machines, N Cheney, J Bongard, V SunSpiral, H Lipson, Journal of The Royal Society Interface 15 (143), 20170937, 2018
29. Rejuvenation of soft material–actuator, A Miriyev, C Trujillo, G Caires, H Lipson MRS Communications 8 (2), 556-561, 2018
30. Functional properties of silicone/ethanol soft-actuator composites, A Miriyev, G Caires, H Lipson Materials & Design 145, 232-242, 2018
31. All-soft material system for strong soft actuators, RA Bilodeau, A Miriyev, H Lipson, R Kramer-Bottiglio 2018 IEEE International Conference on Soft Robotics (RoboSoft), 288-294, 2018
32. The surprising creativity of digital evolution: A collection of anecdotes from the evolutionary computation and artificial life research communities J Lehman, J Clune, D Misevic, C Adami, L Altenberg, J Beaulieu, ... arXiv preprint arXiv:1803.03453, 2018
33. Autostacker: an Automatic Evolutionary Hierarchical Machine Learning System B Chen, W Mo, I Chattopadhyay, H Lipson
34. Soft material for soft actuators, A Miriyev, K Stack, H Lipson Nature communications 8 (1), 596, 2017
35. Automated identification of northern leaf blight-infected maize plants from field imagery using deep learning C DeChant, T Wiesner-Hanks, S Chen, EL Stewart, J Yosinski, MA Gore, .H Lipson Phytopathology 107 (11), 1426-1432, 2017
36. 1D printing of recyclable robots, D Cellucci, R MacCurdy, H Lipson, S Risi IEEE Robotics and Automation Letters 2 (4), 1964-1971, 2017
37. The JamHand: Dexterous manipulation with minimal actuation, J Amend, H Lipson Soft robotics 4 (1), 70-80, 2017
38. On the evolutionary origin of symbolic communication, P Grouchy, GMT D’Eleuterio, MH Christiansen, H Lipson Scientific reports 6, 34615, 2016
39. Electrically actuated hydraulic solids, JI Lipton, S Angle, RE Banai, E Peretz, H Lipson Advanced Engineering Materials 18 (10), 1710-1715, 2016
40. Driverless: intelligent cars and the road ahead, H Lipson, M Kurman Mit Press, 2016
41. Optimally Discriminative Choice Sets in Discrete Choice Models: Application to Data-Driven Test Design, I Labutov, F Schalekamp, K Luu, H Lipson, C Studer Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
42. 3D printing variable stiffness foams using viscous thread instability JI Lipton, H Lipson Scientific reports 6, 29996, 2016
43. Material properties affect evolutions ability to exploit morphological computation in growing soft-bodied creatures J Bongard, C Laschi, H Lipson, N Cheney, F Corucci Artificial Life Conference Proceedings 13, 234-241, 2016
44. On the difficulty of co-optimizing morphology and control in evolved virtual creatures H Lipson, V Sunspiral, J Bongard, N Cheney
45. Artificial Life Conference Proceedings 13, 226-233, 2016 Topological evolution for embodied cellular automata N Cheney, H Lipson Theoretical Computer Science 633, 19-27, 2016
46. Convergent Learning: Do different neural networks learn the same representations? Y Li, J Yosinski, J Clune, H Lipson, JE Hopcroft Iclr, 2016
47. Haptic edge detection through shear J Platkiewicz, H Lipson, V Hayward Scientific reports 6, 23551, 2016
48. Evolving swimming soft-bodied creatures F Corucci, N Cheney, H Lipson, C Laschi, J Bongard ALIFE XV, The Fifteenth International Conference on the Synthesis and …, 2016
49. Web as a textbook: Curating Targeted Learning Paths through the Heterogeneous Learning Resources on the Web. I Labutov, H Lipson International Educational Data Mining Society, 2016
50. Soldercubes: a self-soldering self-reconfiguring modular robot system J Neubert, H Lipson Autonomous Robots 40 (1), 139-158, 2016
51. Demonstrations of additive manufacturing for the hospitality industry J Lipton, J Witzleben, V Green, C Ryan, H Lipson 3D Printing and Additive Manufacturing 2 (4), 204-208, 2015
52. A hybrid evolutionary algorithm for the symbolic modeling of multiple-time-scale dynamical systems TW Cornforth, H Lipson Evolutionary Intelligence 8 (4), 149-164, 2015
53. Evolving soft robots in tight spaces N Cheney, J Bongard, H Lipson, Proceedings of the 2015 annual conference on Genetic and Evolutionary …, 2015
54. Understanding neural networks through deep visualization, J Yosinski, J Clune, A Nguyen, T Fuchs, H Lipson arXiv preprint arXiv:1506.06579, 2015
55. A grand challenge for additive manufacturing: Can we print a robot that will walk out of the printer? H Lipson
56. Additive manufacturing for the food industry JI Lipton, M Cutler, F Nigl, D Cohen, H Lipson, Trends in Food Science & Technology 43 (1), 114-123, 2015
57. Data smashing: uncovering lurking order in data I Chattopadhyay, H Lipson Journal of The Royal Society Interface 11 (101), 20140826, 2014 3D Printing and Additive Manufacturing 1 (4), 177-177, 2014
58. AMF tutorial: Colors and textures (Part 2) H Lipson 3D Printing and Additive Manufacturing 1 (4), 181-184, 2014
59. Bitblox: Printable digital materials for electromechanical machines R MacCurdy, A McNicoll, H Lipson The International Journal of Robotics Research 33 (10), 1342-1360, 2014
60. Self-soldering connectors for modular robots J Neubert, A Rost, H Lipson, IEEE Transactions on Robotics 30 (6), 1344-1357, 2014
61. 3D printable wax-silicone actuators JI Lipton, S Angle, H Lipson 2014 Annual International Solid Freeform Fabrication Symposium, 4-6, 2014
62. Unshackling evolution: evolving soft robots with multiple materials and a powerful generative encoding N Cheney, R MacCurdy, J Clune, H Lipson ACM SIGEVOlution 7 (1), 11-23, 2014
63. Reverse-Engineering Nonlinear Analog Circuits with Evolutionary Computation TW Cornforth, H Lipson International Conference on Unconventional Computation and Natural …, 2014
64. Automated vibrational design and natural frequency tuning of multi-material structures N Cheney, E Ritz, H Lipson Proceedings of the 2014 Annual Conference on Genetic and Evolutionary …, 2014
65. Evolving autonomous agent controllers as analytical mathematical models P Grouchy, G D'Eleuterio Artificial Life Conference Proceedings 14, 681-688, 2014
66. Steps toward a modular library for turning any evolutionary domain into an online interactive platform P Szerlip, K Stanley Artificial Life Conference Proceedings 14, 900-907, 2014
67. Evolved electrophysiological soft robots N Cheney, J Clune, H Lipson Artificial Life Conference Proceedings 14, 222-229, 2014
68. Summary of “The Evolutionary Origins of Modularity” J Clune, JB Mouret, H Lipson Artificial Life Conference Proceedings 14, 41-42, 2014
69. Distilling Evidence of Long-Range Direction-Specific Causal Cross-Talk in Molecular Evolution of Retro-Viral Genomes I Chattopadhyay, H Lipson
70. Workshops at the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014 Data smashing I Chattopadhyay, H Lipson
71. Workshops at the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014 Generating code-switched text for lexical learning I Labutov, H Lipson
72. AMF tutorial: The basics (Part 1) H Lipson 3D Printing and Additive Manufacturing 1 (2), 85-87, 2014
73. Evolved machines shed light on robustness and resilience J Bongard, H Lipson Proceedings of the IEEE 102 (5), 899-914, 2014
74. Computing entropy rate of symbol sources & a distribution-free limit theorem I Chattopadhyay, H Lipson 2014 48th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2014
75. Dynamic simulation of soft multimaterial 3d-printed objects J Hiller, H Lipson Soft robotics 1 (1), 88-101, 2014
76. At the crossroads: interdisciplinary paths to soft robots MB Trimmer, PRH Ewoldt, M Kovac, H Lipson, N Lu, M Shahinpoor, ... Soft Robotics 1 (1), 63-69, 2014
77. Challenges and opportunities for design, simulation, and fabrication of soft robots H Lipson Soft Robotics 1 (1), 21-27, 2014
78. Hybrid printing of photopolymers and electromechanical assemblies R MacCurdy, H Lipson 25th Annual Solid Freeform Fabrication Symposium. Austin (TX), 2014
79. Solid Freeform Fabrication of Soft Tissue Simulators for Needle Injection JI Lipton, AP Tow, I Burbank, A Vazquez, H Lipson Solid Freeform Fabrication Symposium, 2014
80. How transferable are features in deep neural networks? J Yosinski, J Clune, Y Bengio, H Lipson Advances in neural information processing systems, 3320-3328, 2014
81. Peer-Mediated Testing I Labutov, K Luu, T Joachims, H Lipson Data Mining for Educational Assessment and Feedback (ASSESS 2014), 2014
82. Particle shape effects on the stress response of granular packings AG Athanassiadis, MZ Miskin, P Kaplan, N Rodenberg, SH Lee, J Merritt, ... Soft Matter 10 (1), 48-59, 2014
83. Advancing children’s engineering through desktop manufacturing G Bull, J Chiu, R Berry, H Lipson, C Xie Handbook of research on educational communications and technology, 675-688, 2014
84. Optimal experiment design for coevolutionary active learning D Le Ly, H Lipson IEEE Transactions on Evolutionary Computation 18 (3), 394-404, 2013
85. Inverse Gillespie for inferring stochastic reaction mechanisms from intermittent samples I Chattopadhyay, A Kuchina, GM Süel, H Lipson Proceedings of the National Academy of Sciences 110 (32), 12990-12995, 2013
86. Re-embedding words I Labutov, H Lipson Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013
87. Ribosomal robots: Evolved designs inspired by protein folding S Risi, D Cellucci, H Lipson Proceedings of the 15th annual conference on Genetic and evolutionary …, 2013
88. Structure-reconfiguring robots: Autonomous truss reconfiguration and manipulation F Nigl, S Li, JE Blum, H Lipson IEEE Robotics & Automation Magazine 20 (3), 60-71, 2013
89. Upload any object and evolve it: Injecting complex geometric patterns into CPPNs for further evolution J Clune, A Chen, H Lipson 2013 IEEE Congress on Evolutionary Computation, 3395-3402, 2013