Alexander Schperberg

Alexander Schperberg
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  • Biography

    Alexander's background includes extensive experience in employing hybrid machine-learning and model-based approaches towards planning, control, and estimation in both simulation and hardware including legged, climbing, wheeled, and flying robots. His Ph.D work covers topics such as reinforcement learning, Active SLAM, stochastic model predictive control, force control for manipulation and grasping, and estimation using filtering methods combined with vision transformers and deep learning techniques. His current research interests focus on advancing learning methods, from traditional neural networks to large language models, through embedded
    knowledge of the underlying physics of the environment, robots, and contacts between them.

  • Recent News & Events

    •  NEWS    MERL contributes to IROS 2026
      Date: September 27, 2026 - October 1, 2026
      Where: The IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
      MERL Contacts: Siddarth Jain; Toshiaki Koike-Akino; Jing Liu; Daniel N. Nikovski; Arvind Raghunathan; Alexander Schperberg; Kei Suzuki; Ye Wang
      Research Areas: Artificial Intelligence, Computer Vision, Control, Machine Learning, Optimization, Robotics, Signal Processing
      Brief
      • MERL made broad contributions to the technical program and robotics community at the 2026 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2026), held in Pittsburgh, Pennsylvania. MERL researchers presented one main-conference paper and five workshop papers, participated in an editorial board meeting, competed in the Humanoid IKEA Assembly Challenge, and contributed to the organization of an IROS workshop.

        Main Conference Paper
        • ORIGAMI: Object Representation Inferred Geometrically for Articulated ManIpulation, Yunfu Deng and Daniel N. Nikovski (TR2026-141)


          • The work introduces a geometric representation for articulated-object manipulation, enabling robots to infer compact representations of previously unknown articulated mechanisms for downstream learning and control.

        Workshop Papers
        • Deliberate Practice: Learning Robot Skills under a Budget Shivam Vats, Sudarshan Harithas, Mete Akbulut, Arvind Raghunathan, and George Konidaris (TR2026-147)


        • ReCoVLA: VLM-Guided Reward Compilation for Failure Recovery in Vision-Language-Action Policies, Haodi Hu, Chung-Ta Huang, Jing Liu, Ye Wang, Kei Suzuki, Matthew Brand, and Toshiaki Koike-Akino (TR2026-148)


        • Test-Time Attention: Can Robots Better Follow Commands? Jing Liu, Ye Wang, Kei Suzuki, and Toshiaki Koike-Akino (TR2026-142)


        • Read the Manual: Grounding Behavior Tree Synthesis for Multi-Machine Factory Operation, Chak Lam Shek, Ye Wang, Jing Liu, Kei Suzuki, Pratap Tokekar, and Toshiaki Koike-Akino (TR2026-149)


        • DYNAMIT: Dynamic Zero-Shot Manipulation via Instruction-Grounded Visual Tracking and Interception in Industrial Conveyor Environments, Harsh Singh, Kei Suzuki, Ye Wang, Jing Liu, Paola Cascante-Bonilla, and Toshiaki Koike-Akino (TR2026-146)

          Together, these works address a range of challenges in modern robotics, including articulated-object manipulation, efficient robot skill learning, vision-language-action policies, test-time adaptation, autonomous factory operation, and dynamic manipulation. The paper on ReCoVLA was nominated as a spotlight talk.


        Robotics Community Contributions

        MERL Principal Research Scientist Dr. Siddarth Jain participated in the IEEE Robotics and Automation Letters (RA-L) editorial board meeting at IROS. Dr. Jain serves as an Associate Editor of RA-L, contributing to the peer-review and editorial activities of the robotics research community.

        Former MERL scientist Dr. Diego Romeres was also among the organizers of the 1st International Workshop on Industrial Applications of Robot Learning (IARL 2026). The workshop brought together researchers from academia and industry to discuss how advances in robot learning can be translated into reliable and scalable real-world industrial robotic systems.

        Humanoid IKEA Assembly Challenge

        MERL also participated in the IROS 2026 Humanoid IKEA Assembly Challenge with Team MEL-Craft. The team achieved first place in the competition, demonstrating autonomous humanoid manipulation capabilities for a challenging furniture-assembly task. The MEL-Craft team included MERL researchers Kei Suzuki, Jing Liu, Alexander Schperberg, Toshiaki Koike-Akino, and Ye Wang, with contributions from MERL interns Haodi Hu, Harsh Singh, Chak Lam Shek, and Maxwell Asselmeier. The competition achievement is highlighted separately in MERL's related award announcement.

        About IROS

        The IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) is a major international robotics conference bringing together researchers, engineers, and industry practitioners working across intelligent robots and systems. IROS 2026 took place in Pittsburgh from September 27 to October 1, 2026.

    •  
    •  NEWS    MERL researchers contribute six papers to IFAC World Congress 2026
      Date: August 23, 2026 - August 28, 2026
      Where: Busan, South Korea
      MERL Contacts: Stefano Di Cairano; Alexander Schperberg; Abraham P. Vinod; Yebin Wang; Avishai Weiss
      Research Areas: Control, Dynamical Systems, Optimization
      Brief
      • MERL researchers contributed six papers to the 23rd IFAC World Congress 2026, held August 23–28 in Busan, South Korea. The IFAC World Congress, held every three years, brings together the international control community to share advances in control theory and applications.

        The papers covered a range of topics in spacecraft control, autonomous robotics, and precision motion control:

        - Coordinated aerial inspection of infrastructure with heterogeneous drones, using drones with complementary sensing capabilities. MERL also released an open-source ROS 2 implementation accompanying the work.

        - Geostationary satellite control using averaged dynamics, with the goal of extending the time between east–west station-keeping maneuvers.

        - Scenario-based model predictive control for spacecraft station keeping on a near-rectilinear halo orbit.

        - Parameter estimation for induction machines, enabling torque-bound construction for trajectory planning and control in precision positioning systems.

        - Feedforward control with dual neural networks, improving motion tracking when load-side position measurements are only partially available.

        - Constrained sampling-based model predictive control for contact-rich robotics, combining sampling-based exploration with gradient-based refinement for safe and precise robot motion.

        In addition to the paper presentations, MERL researcher Abraham Vinod delivered an invited talk at the workshop “Trustworthy Data-Driven Control: From Finite Samples to Robust Guarantees.” His talk discussed data-driven environmental monitoring and decision-making under uncertainty.
    •  

    See All News & Events for Alexander

  • Awards

    •  AWARD    MERL Team Wins IROS 2026 Humanoid IKEA Assembly Challenge
      Date: October 1, 2026
      Awarded to: Kei Suzuki, Jing Liu, Alexander Schperberg, Toshiaki Koike-Akino, Ye Wang, Harsh Singh, Chak Lam Shek, Maxwell Asselmeier, and Haodi Hu
      MERL Contacts: Toshiaki Koike-Akino; Jing Liu; Alexander Schperberg; Kei Suzuki; Ye Wang
      Research Areas: Artificial Intelligence, Computer Vision, Control, Machine Learning, Optimization, Robotics, Signal Processing
      Brief
      • MERL's team MEL-Craft won first place in the Humanoid IKEA Assembly Challenge at IROS 2026, held in Pittsburgh, Pennsylvania. The inaugural competition attracted approximately 34 registered teams worldwide.

        The challenge asked teams to develop autonomous robot policies for a Unitree G1 humanoid robot to assemble an IKEA UTTER table from its component parts. The robot had to perform the task autonomously at the competition venue, requiring capabilities including perception, bimanual manipulation, spatial reasoning, planning, and control. Human intervention was penalized, and teams were evaluated based on assembly progress and completion time.

        MERL competed as MEL-Craft and achieved first place in the competition. The result demonstrates progress toward reliable humanoid robots capable of performing complex, contact-rich manipulation tasks in real-world environments, an important direction for physical AI and general-purpose robotic systems.

        The MERL team members were Kei Suzuki, Jing Liu, Alexander Schperberg, Toshiaki Koike-Akino, and Ye Wang, with contributions from MERL interns Harsh Singh, Chak Lam Shek, Maxwell Asselmeier, and Haodi Hu.

        The Humanoid IKEA Assembly Challenge was held as part of IROS 2026, the IEEE/RSJ International Conference on Intelligent Robots and Systems.
    •  
    See All Awards for MERL

  • Internships with Alexander

    See All Internships at MERL

  • MERL Publications

    •  Wang, C., Romeres, D., Schperberg, A., Li, N., Wang, Y., "Constrained Sampling MPC for Safe Contact-Rich Control: From Exploration to Precision via Hybrid Refinement⋆", IFAC World Congress, September 2026.
      BibTeX TR2026-119 PDF
      • @inproceedings{Wang2026sep,
      • author = {Wang, Chenghao and Romeres, Diego and Schperberg, Alexander and Li, Na and Wang, Yebin},
      • title = {{Constrained Sampling MPC for Safe Contact-Rich Control: From Exploration to Precision via Hybrid Refinement⋆}},
      • booktitle = {IFAC World Congress},
      • year = 2026,
      • month = sep,
      • url = {https://www.merl.com/publications/TR2026-119}
      • }
    •  Schperberg, A., Tanaka, Y., Di Cairano, S., Hong, D., "MOBIUS: A Multi-Modal Bipedal Robot that can Walk, Crawl, Climb, and Roll", Robotics Science and Systems, July 2026.
      BibTeX TR2026-110 PDF Video
      • @inproceedings{Schperberg2026jul,
      • author = {Schperberg, Alexander and Tanaka, Yusuke and {Di Cairano}, Stefano and Hong, Dennis},
      • title = {{MOBIUS: A Multi-Modal Bipedal Robot that can Walk, Crawl, Climb, and Roll}},
      • booktitle = {Robotics Science and Systems},
      • year = 2026,
      • month = jul,
      • url = {https://www.merl.com/publications/TR2026-110}
      • }
    •  Bhaskar, A., Tokekar, P., Di Cairano, S., Schperberg, A., "MIRROR: Multisensory Implicit Rejection-sampled RObotic policy", ICML 2026 Workshop on Structured Probabilistic Inference & Generative Modeling, July 2026.
      BibTeX TR2026-096 PDF
      • @inproceedings{Bhaskar2026jul,
      • author = {Bhaskar, Amisha and Tokekar, Pratap and {Di Cairano}, Stefano and Schperberg, Alexander},
      • title = {{MIRROR: Multisensory Implicit Rejection-sampled RObotic policy}},
      • booktitle = {ICML 2026 Workshop on Structured Probabilistic Inference \& Generative Modeling},
      • year = 2026,
      • month = jul,
      • url = {https://www.merl.com/publications/TR2026-096}
      • }
    •  Schperberg, A., Panda, S.K., Vinod, A.P., Jawed, M.K., Di Cairano, S., "RoboAtlas: Contextual Active SLAM", arXiv, June 2026.
      BibTeX arXiv
      • @article{Schperberg2026jun2,
      • author = {Schperberg, Alexander and Panda, Shivam K. and Vinod, Abraham P. and Jawed, M. K. and {Di Cairano}, Stefano},
      • title = {{RoboAtlas: Contextual Active SLAM}},
      • journal = {arXiv},
      • year = 2026,
      • month = jun,
      • url = {https://arxiv.org/abs/2606.26046}
      • }
    •  Schperberg, A., Wang, Y., Di Cairano, S., "Safe Whole-Body Loco-Manipulation via Combined Model and Learning-based Control", IEEE International Conference on Robotics and Automation (ICRA), June 2026.
      BibTeX TR2026-072 PDF Video
      • @inproceedings{Schperberg2026jun,
      • author = {Schperberg, Alexander and Wang, Yeping and {Di Cairano}, Stefano},
      • title = {{Safe Whole-Body Loco-Manipulation via Combined Model and Learning-based Control}},
      • booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
      • year = 2026,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2026-072}
      • }
    See All MERL Publications for Alexander

  • Other Publications

    •  Alexander Schperberg, Yusuke Shirai, X. Lin, Yusuke Tanaka and Dennis Hong, "Adaptive Force Controller for Contact-Rich Robotic Systems using an Unscented Kalman Filter", IEEE/RSJ International Conference on Intelligent Robots and Systems (Humanoids), December 2024.
      BibTeX
      • @Inproceedings{schperberg2024adaptive,
      • author = {Schperberg, Alexander and Shirai, Yusuke and Lin, X. and Tanaka, Yusuke and Hong, Dennis},
      • title = {Adaptive Force Controller for Contact-Rich Robotic Systems using an Unscented Kalman Filter},
      • booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (Humanoids)},
      • year = 2024,
      • month = dec
      • }
    •  Alexander V. Schperberg, "Towards Intelligent Robotic Systems: Unifying Model-based Optimization and Machine Learning for Planning, Control, and Estimation", June 2024, University of California, Los Angeles.
      BibTeX
      • @Other{schperberg2024thesis,
      • author = {Schperberg, Alexander V.},
      • title = {Towards Intelligent Robotic Systems: Unifying Model-based Optimization and Machine Learning for Planning, Control, and Estimation},
      • school = {University of California, Los Angeles},
      • year = 2024,
      • month = jun
      • }
    •  Alexander Schperberg, Yusuke Tanaka and Dennis Hong, "Planning, Control, and Estimation of a Complex and Underactuated Multi-Modal Robot", ICRA 2024 Workshop: Unconventional Robots: Universal Lessons for Designing Unique Systems, May 2024.
      BibTeX
      • @Inproceedings{schperberg2024complex,
      • author = {Schperberg, Alexander and Tanaka, Yusuke and Hong, Dennis},
      • title = {Planning, Control, and Estimation of a Complex and Underactuated Multi-Modal Robot},
      • booktitle = {ICRA 2024 Workshop: Unconventional Robots: Universal Lessons for Designing Unique Systems},
      • year = 2024,
      • address = {Yokohama, Japan},
      • month = may
      • }
    •  Alexander Schperberg, Yusuke Tanaka, Soheil Mowlavi, Feng Xu, Balaji Balaji and Dennis Hong, "OptiState: State Estimation of Legged Robots using Gated Networks with Transformer-based Vision and Kalman Filtering", IEEE International Conference on Robotics and Automation (ICRA), May 2024.
      BibTeX
      • @Inproceedings{schperberg2024optistate,
      • author = {Schperberg, Alexander and Tanaka, Yusuke and Mowlavi, Soheil and Xu, Feng and Balaji, Balaji and Hong, Dennis},
      • title = {OptiState: State Estimation of Legged Robots using Gated Networks with Transformer-based Vision and Kalman Filtering},
      • booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
      • year = 2024,
      • month = may
      • }
    •  Yusuke Tanaka, Alexander Schperberg and Dennis Hong, "Exploring the Potentials of Multi-Modal Robotics with SCALER-B", ICRA 2024 Workshop: Unconventional Robots: Universal Lessons for Designing Unique Systems, May 2024.
      BibTeX
      • @Inproceedings{schperberg2024scalerb,
      • author = {Tanaka, Yusuke and Schperberg, Alexander and Hong, Dennis},
      • title = {Exploring the Potentials of Multi-Modal Robotics with SCALER-B},
      • booktitle = {ICRA 2024 Workshop: Unconventional Robots: Universal Lessons for Designing Unique Systems},
      • year = 2024,
      • address = {Yokohama, Japan},
      • month = may
      • }
    •  Alexander Schperberg, Yusuke Tanaka, Feng Xu, Arash Khan, Balaji Balaji and Dennis Hong, "Planner for Robotic Free-Climbing using Reinforcement Learning", Southern California Robotics Symposium (SCR), September 2023.
      BibTeX
      • @Inproceedings{schperberg2023planner,
      • author = {Schperberg, Alexander and Tanaka, Yusuke and Xu, Feng and Khan, Arash and Balaji, Balaji and Hong, Dennis},
      • title = {Planner for Robotic Free-Climbing using Reinforcement Learning},
      • booktitle = {Southern California Robotics Symposium (SCR)},
      • year = 2023,
      • month = sep
      • }
    •  Alexander Schperberg, Yusuke Tanaka, Feng Xu, Maximilian Menner and Dennis Hong, "Real-to-Sim: Predicting Residual Error of Robotic Systems using a Learning-based Unscented Kalman Filter", IEEE 20th International Conference on Ubiquitous Robots (UR), June 2023.
      BibTeX
      • @Inproceedings{schperberg2023real_to_sim,
      • author = {Schperberg, Alexander and Tanaka, Yusuke and Xu, Feng and Menner, Maximilian and Hong, Dennis},
      • title = {Real-to-Sim: Predicting Residual Error of Robotic Systems using a Learning-based Unscented Kalman Filter},
      • booktitle = {IEEE 20th International Conference on Ubiquitous Robots (UR)},
      • year = 2023,
      • month = jun
      • }
    •  X. Lin, Feng Xu, Alexander Schperberg and Dennis Hong, "Learning Near-global-optimal Strategies for Hybrid Non-convex Model Predictive Control of Single Rigid Body Locomotion", arXiv preprint arXiv:2207.07846, June 2022.
      BibTeX
      • @Article{lin2022near_optimal,
      • author = {Lin, X. and Xu, Feng and Schperberg, Alexander and Hong, Dennis},
      • title = {Learning Near-global-optimal Strategies for Hybrid Non-convex Model Predictive Control of Single Rigid Body Locomotion},
      • journal = {arXiv preprint arXiv:2207.07846},
      • year = 2022,
      • month = jun
      • }
    •  Yusuke Shirai, X. Lin, Alexander Schperberg, Yusuke Tanaka, H. Kato, V. Vichathorn and Dennis Hong, "Simultaneous Efficient Contact-Rich Grasping and Locomotion Optimization Enabling Free-Climbing for Multi-Limbed Robots", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), March 2022.
      BibTeX
      • @Inproceedings{shirai2022contact_optimization,
      • author = {Shirai, Yusuke and Lin, X. and Schperberg, Alexander and Tanaka, Yusuke and Kato, H. and Vichathorn, V. and Hong, Dennis},
      • title = {Simultaneous Efficient Contact-Rich Grasping and Locomotion Optimization Enabling Free-Climbing for Multi-Limbed Robots},
      • booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
      • year = 2022,
      • month = mar
      • }
    •  Yusuke Tanaka, Yusuke Shirai, X. Lin, Alexander Schperberg, H. Kato, A. Swerdlow, N. Kumagai and Dennis Hong, "SCALER: A Tough Versatile Quadruped Free-Climber Robot", 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), March 2022.
      BibTeX
      • @Inproceedings{tanaka2022scaler,
      • author = {Tanaka, Yusuke and Shirai, Yusuke and Lin, X. and Schperberg, Alexander and Kato, H. and Swerdlow, A. and Kumagai, N. and Hong, Dennis},
      • title = {SCALER: A Tough Versatile Quadruped Free-Climber Robot},
      • booktitle = {2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
      • year = 2022,
      • month = mar
      • }
    •  Alexander Schperberg, S. Tsuei, Stefano Soatto and Dennis Hong, "SABER: Data-Driven Motion Planner for Autonomously Navigating Heterogeneous Robots", IEEE Robotics and Automation Letters (RA-L), May 2021.
      BibTeX
      • @Article{schperberg2024saber,
      • author = {Schperberg, Alexander and Tsuei, S. and Soatto, Stefano and Hong, Dennis},
      • title = {SABER: Data-Driven Motion Planner for Autonomously Navigating Heterogeneous Robots},
      • journal = {IEEE Robotics and Automation Letters (RA-L)},
      • year = 2021,
      • month = may
      • }
    •  J. S. Lee, N. U. Lee, G. Nair, L. Dinstag, Y. Chapman, K. Chung, S. Wang, H. Sinha, D. Cha, A. V. Kim, Alexander Schperberg, V. Srinivasan, E. Lazar, S. Rubin, R. Hwang, T. Berger, Z. Beker, S. Ronai, M. R. Hannenhalli and S.-H. Kurzrock, "Synthetic lethality-mediated precision oncology via the tumor transcriptome", Cell, Vol. 184, No. 9, pp. 2487-2502.e13, 2021.
      BibTeX
      • @Article{lee2021synthetic_lethality,
      • author = {Lee, J. S. and Lee, N. U. and Nair, G. and Dinstag, L. and Chapman, Y. and Chung, K. and Wang, S. and Sinha, H. and Cha, D. and Kim, A. V. and Schperberg, Alexander and Srinivasan, V. and Lazar, E. and Rubin, S. and Hwang, R. and Berger, T. and Beker, Z. and Ronai, S. and Hannenhalli, M. R. and Kurzrock, S.-H.},
      • title = {Synthetic lethality-mediated precision oncology via the tumor transcriptome},
      • journal = {Cell},
      • year = 2021,
      • volume = 184,
      • number = 9,
      • pages = {2487--2502.e13}
      • }
    •  Alexander Schperberg, K. Chen, S. Tsuei, M. Jewett, J. Hooks, Stefano Soatto, Aaron Mehta and Dennis Hong, "Risk-Averse MPC via Visual-Inertial Input and Recurrent Networks for Online Collision Avoidance", 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), November 2020.
      BibTeX
      • @Inproceedings{schperberg2020risk_averse,
      • author = {Schperberg, Alexander and Chen, K. and Tsuei, S. and Jewett, M. and Hooks, J. and Soatto, Stefano and Mehta, Aaron and Hong, Dennis},
      • title = {Risk-Averse MPC via Visual-Inertial Input and Recurrent Networks for Online Collision Avoidance},
      • booktitle = {2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
      • year = 2020,
      • month = nov
      • }
    •  Alexander Schperberg, Alice Boichard, Igor Tsigelny, Shumei Richard and Razelle Kurzrock, "Machine learning model to predict oncologic outcomes for drugs in randomized clinical trials", International Journal of Cancer, pp. 1-13, 2020.
      BibTeX
      • @Article{schperberg2020oncology,
      • author = {Schperberg, Alexander and Boichard, Alice and Tsigelny, Igor and Richard, Shumei and Kurzrock, Razelle},
      • title = {Machine learning model to predict oncologic outcomes for drugs in randomized clinical trials},
      • journal = {International Journal of Cancer},
      • year = 2020,
      • pages = {1--13}
      • }
    •  Alexander Schperberg, Yusuke Shirai and Yusuke Tanaka, "Reducing Motion Perturbation for a Bipedal Robot using Model Predictive Control", September 2019.
      BibTeX
      • @Misc{schperberg2019bipedal_mpc,
      • author = {Schperberg, Alexander and Shirai, Yusuke and Tanaka, Yusuke},
      • title = {Reducing Motion Perturbation for a Bipedal Robot using Model Predictive Control},
      • year = 2019,
      • month = sep
      • }
    •  S. Raj, Alexander Schperberg, B. Tsai, S. Brown, T.P. Jung and Y. Wu, "Resting State and Task-Related Brain Dynamics Supporting Creativity", Neuroscience 2018 Conference, 2018.
      BibTeX
      • @Inproceedings{raj2018brain_dynamics,
      • author = {Raj, S. and Schperberg, Alexander and Tsai, B. and Brown, S. and Jung, T.P. and Wu, Y.},
      • title = {Resting State and Task-Related Brain Dynamics Supporting Creativity},
      • booktitle = {Neuroscience 2018 Conference},
      • year = 2018
      • }
    •  Y. Wu, J. Wang, A. Tran, Alexander Schperberg, J. Caldwell, T.P. Jung and P.C. Kuo, "MoBI-Box: A next generation Mobile Brain-Body Imaging Platform", 2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), 2016, pp. 93-96.
      BibTeX
      • @Inproceedings{wu2016mobibox,
      • author = {Wu, Y. and Wang, J. and Tran, A. and Schperberg, Alexander and Caldwell, J. and Jung, T.P. and Kuo, P.C.},
      • title = {MoBI-Box: A next generation Mobile Brain-Body Imaging Platform},
      • booktitle = {2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)},
      • year = 2016,
      • pages = {93--96},
      • address = {San Diego, CA, USA}
      • }

  • Videos

  • MERL Issued Patents

    • Title: "System and Method for Controlling a Multi-Legged Robot"
      Inventors: Menner, Marcel; Di Cairano, Stefano; Schperberg, Alexander
      Patent No.: 12,741,375
      Issue Date: Sep 22, 2026
    • Title: "Task-Specific and Environment-Specific Adaptive Control of Legged Robot"
      Inventors: Menner, Marcel; Di Cairano, Stefano; Schperberg, Alexander
      Patent No.: 12,474,705
      Issue Date: Nov 18, 2025
    See All Patents for MERL