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Human-Centered Systems and Control Lab

Publications

2024

- I. Pacula and M. Oishi, "Open-Loop Chance Constrained Stochastic Optimal Control Via the One-Sided Vysochanskij-Petunin Inequality," in IEEE Transactions on Automatic Control, doi: 10.1109/TAC.2024.3386460
- H. Sridhar, G. Huang, A. Thorpe, M. Oishi, and B. Pitts, "Characterizing the effect of mind wandering on braking dynamics in partially autonomous vehicles," ACM Transactions on Cyber-Physical Systems, 2024, to appear.
- M. S. -T. Yuh, K. R. Ortiz, K. S. Sommer-Kohrt, M. Oishi and N. Jain, "Classification of Human Learning Stages via Kernel Distribution Embeddings," in IEEE Open Journal of Control Systems, vol. 3, pp. 102-117, 2024.
- N. Pavlasek, H. Quin Li, B. Acikmese, M. Oishi, C. Danielson, "Blameless and Optimal Control under Prioritized Safety Constraints," in ACC, 2024, to appear.
- A. Thorpe, C. Neary, F. Djeumou, M. Oishi, U. Topcu, "Physics-Informed Kernel Embeddings: Integrating Prior System Knowledge with Data-Driven Control," in ACC, 2024, to appear.

2023

V. Sivaramakrishnan, A. P. Vinod, and M. M. K. Oishi, “Convexified open-loop stochastic optimal control for linear systems with log-concave disturbances,” IEEE Transactions on Automatic Control, pp. 1–8, 2023.
I. Pacula and M. Oishi, "Stochastic Optimal Control For Gaussian Disturbances with Unknown Mean and Variance Based on Sample Statistics," IEEE Conference on Decision and Control (CDC), Singapore, Singapore, 2023, pp. 2776-2783.
I. Pacula, A. Bidram and M. Oishi, "Chance Constrained Stochastic Optimal Control for Linear Systems with Time Varying Random Plant Parameters," 2023 American Control Conference (ACC), San Diego, CA, USA, 2023, pp. 2599-2606.
I. Pacula and M. Oishi, "Chance Constrained Stochastic Optimal Control for Linear Systems with a Time Varying Random Control Matrix," 2023 IEEE Conference on Control Technology and Applications (CCTA), Bridgetown, Barbados, 2023, pp. 599-604.
C. O. Ike, J. T. Wen, M. M. Oishi, L. K. Brown, and A. A. Julius, “Efficient estimation of the hu- man circadian phase via kalman filtering,” in 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2023, pp. 1–6.
A. J. Thorpe, J. A. Gonzales, and M. M. K. Oishi, “Data-driven stochastic optimal control using kernel gradients,” in 2023 American Control Conference (ACC), 2023, pp. 2548–2553.
J. Pilipovsky, V. Sivaramakrishnan, M. Oishi, and P. Tsiotras, “Probabilistic Verification of ReLU Neural Networks via Characteristic Functions,” in the Proceedings of the Learning for Dynamics & Control Conference, June 2023.
I. Pacula, A. Bidram, M. Oishi, "Optimal control strategy for linear systems with time varying random plant parameters," in the Proceedings of the American Control Conference, to appear.
A. Thorpe, J. Gonzales, M. Oishi, "Data-driven stochastic optimal control using kernel gradients," in the Proceedings of the American Control Conference, to appear.

2022

C. O. Ike, J. T. Wen, M. Oishi, L. K. Brown, and A. Julius, "Fast tuning of observer-based circadian phase estimator using biometric data," Heliyon, vol. 8, no. 12, p. e12500, 2022.
A. Thorpe, K. Ortiz, and M. Oishi, "State-based confidence bounds for data-driven stochastic reacha- bility using Hilbert space embeddings," Automatica, vol. 138, p. 110146, 2022.
A. Vinod, A. Thorpe, P. Olaniyi, T. Summers, and M. Oishi, "Sensor selection for dynamics-driven user-interface design," IEEE Transactions on Control Systems Technology, vol. 30, no. 1, pp. 71-84, 2022.
K. Ortiz, A. Thorpe, A. Perez, M. Luster, B. Pitts, and M. Oishi, "Characterizing within-driver variability in driving dynamics during obstacle avoidance maneuvers," in IFAC Workshop on Cyber-Physical Human Systems. Houston, TX, December 2022, to appear.
A. Thorpe, T. Lew, M. Oishi, and M. Pavone, "Data-driven chance constrained control using kernel distribution embeddings," in Conference on Learning for Dynamics and Control, ser. Proceedings of Machine Learning Research. PMLR, 23 - 24 June 2022, pp. 790-802.
I. Pacula, C. Petersen, and M. Oishi, "Approximate quantiles for stochastic optimal control of LTI systems with arbitrary disturbances," in American Control Conference, Atlanta, GA, June 2022, 1814-1821.
V. Sivaramakrishnan, J. Pilipovsky, M. Oishi, and P. Tsiotras, "Distribution steering for discrete-time linear systems with general disturbances using characteristic functions," in American Control Conference, Atlanta, GA, June 2022, pp.4183-4190.
A. Thorpe and M. Oishi, "SOCKS: A stochastic optimal control and reachability toolbox using kernel methods," in IEEE/ACM Hybrid Systems: Computation and Control, Milan, Italy, May 2022, pp. 1-12.

2021

A. Vinod and M. Oishi, "Probabilistic occupancy via forward stochastic reachability for Markov jump affine systems," IEEE Transactions on Automatic Control, vol. 66, no. 7, July 2021, p. 3068-3083.<
J. Gleason, A. Vinod, and M. Oishi, "Lagrangian approximations for stochastic reachability of a target tube," Automatica, vol. 128, June 2021, p. 109546.
A. Vinod and M. Oishi, "Stochastic reachability of a target tube: Theory and computation," Automatica, vol. 125, March 2021, p. 109458.
A. Thorpe and M. Oishi, "Stochastic optimal control via Hilbert space embeddings of distributions," in IEEE Conference on Decision and Control, December 2021, pp. 904-911.
A. Thorpe, K. Ortiz, and M. Oishi, "SReachTools kernel module: Data-driven stochastic reachability using Hilbert space embeddings of distributions," in IEEE Conference on Decision and Control, December 2021, p. 5073-5079.
A. J. Thorpe, K. R. Ortiz, and M. Oishi, "Learning approximate forward reachable sets using separating kernels," in Conference on Learning for Dynamics and Control, ser. Proceedings of Machine Learning Research, A. Jadbabaie, J. Lygeros, G. J. Pappas, P. Parrilo, B. Recht, C. J. Tomlin, and M. N. Zeilinger, Eds., vol. 144. PMLR, June 2021, pp. 201-212.
I. Pacula, A. Vinod, V. Sivaramakrishnan, M. Oishi, and C. Petersen, "Stochastic multi-satellite maneuvering with constraints in an elliptical orbit," in American Control Conference, May 2021, pp. 4261-4268.
A. Thorpe, V. Sivaramakrishnan, and M. Oishi, "Approximate stochastic reachability for high dimensional systems," in American Control Conference, May 2021, pp. 1287-1293.
Y. Matlashova, M. Oishi, and A. Bidram, "Trust-based user interface design for islanded alternating current microgrids," in IEEE GreenTech Conference, April 2021, pp. 469-476.

2020

J. Yin, A. Julius, J. T. Wen, M. Oishi, and L.K. Brown, "Actigraphy-based parameter tuning process for adaptive notch filter and circadian phase shift estimation," Chronobiology International, vol. 37, no. 11, 2020, p. 1552-1564.
V. Sivaramakrishnan and M. Oishi, "Fast, convexified stochastic optimal open-loop control for linear systems using empirical characteristic functions," IEEE Control Systems Letters, vol. 4, no. 4, pp. 1048-1053, 2020.
A. Thorpe and M. Oishi, "Model-free stochastic reachability using kernel distribution embeddings," IEEE Control Systems Letters, vol. 4, no. 2, pp. 512-517, 2020.
Patrizi, G. Fragkos, K. Ortiz, M. Oishi, and E. E. Tsiropoulou, "A UAV-enabled dynamic multi-target tracking and sensing framework," in IEEE Global Communications Conference (GLOBECOM), 2020, pp. 1-6.

2019

J. D. Gleason, M. Oishi, M. Simkulet, T. Arunas, J. Hanifin, G. Brainard, S. Brueck, R. F. Karlicek, and L. Brown, "Smart lighting clinical testbed pilot study on circadian phase advancement," IEEE Journal of Translational Engineering in Health and Medicine, vol. 7, pp. 1-10, 2019.
J. Gleason, M. Oishi, A. Julius, J. Wen, S. Pappu, and H. Yonas, "Assessing circadian rhythms and entrainment via intracranial temperature after severe head trauma," Biomedical Circuits and Systems, vol. 54, 2019.
M. Jimenez, M. Oishi, V. Law, and V. Svihla, "Students' co-regulation during a complex problem-solving assessment: An eye-tracking study," in American Educational Research Association, San Francisco, CA, 2019, conference cancelled.
A. Vinod and M. Oishi, "Affine controller synthesis for stochastic reachability via difference-of-convex programming," in IEEE Conference on Decision and Control, December 2019, pp. 7273-7280.
M. Khaledyan, A. Vinod, M. Oishi, and J. Richards, "Optimal coverage control and stochastic multi- target tracking," in IEEE Conference on Decision and Control, December 2019, pp. 2467-2472.
J. D. Gleason, A. Vinod, and M. Oishi, "The maximal hitting-time stochastic reachability problem," in IEEE Conference on Decision and Control, December 2019, pp. 7266-7272.
V. Sivaramakrishnan, O. Thapliyal, A. Vinod, M. Oishi, and I. Hwang, "Predicting mode confusion through mixed integer linear programming," in IEEE Conference on Decision and Control, December 2019, pp. 2442-2448.
A. Vinod, V. Sivaramakrishnan, and M. Oishi, "Piecewise-affine approximation-based stochastic optimal control with gaussian joint chance constraints," in American Control Conference, June 2019, pp. 2942- 2949.
H. Sartipizadeh, A. P. Vinod, B. Acikmese, and M. Oishi, "Voronoi partition-based scenario reduction for fast sampling-based stochastic reachability computation of linear systems," in American Control Conference, June 2019, pp. 37-44.
A. Vinod, J. Gleason, and M. Oishi, "SReachTools: A MATLAB Stochastic Reachability Toolbox," in IEEE/ACM Hybrid Systems: Computation and Control, April 2019, pp. 33-38.
A. Vinod, V. Sivaramakrishnan, and M. Oishi, "Sampling-free enforcement of non-gaussian chance constraints via Fourier transforms," in Int'l Workshop on Symbolic-Numeric methods for Reasoning about CPS and IoT, April 2019, pp. 9-11.

2018

A. Vinod, S. Rice, Y. Mao, M. Oishi, and B. Acikmese, "Stochastic motion planning using successive convexification and probabilistic occupancy functions," in IEEE Conference on Decision and Control, December 2018, pp. 4425-4432.
A. P. Vinod and M. Oishi, "Optimal trade-off analysis for efficiency and safety in the spacecraft rendezvous and docking problem," in IFAC Networked and Autonomous Air and Space Systems, June 2018, pp. 136-141.
M. Shubert, M. Oishi, M. Baldwin, and R. S. Erwin, "Under-approximating reach-avoid sets for space vehicle maneuvering in the presence of debris," in IFAC Networked and Autonomous Air and Space Systems, June 2018, pp. 142-147.
A. P. Vinod, B. HomChaudhuri, C. Hintz, A. Parikh, S. P. Buerger, M. Oishi, and R. Fierro, "Multiple pursuer-based intercept via forward stochastic reachability," in American Control Conference, June 2018, pp. 1559-1566.
A. Vinod and M. Oishi, "Scalable underapproximative verification of stochastic lti systems using convexity and compactness," in Hybrid Systems: Computation and Control, April 2018, pp. 1-10, Finalist, Best Paper Award.

2017

H.-T. Chiang, N. Malone, K. Lesser, M. Oishi, and L. Tapia, "Hybrid dynamic moving obstacle avoidance using a stochastic reachable set based potential field," IEEE Transactions on Robotics, vol. 33, no. 5, pp. 1124 -1138, 2017.
A. Vinod and M. Oishi, "Scalable underapproximation for the stochastic reach-avoid problem for high-dimensional LTI systems using Fourier transforms," IEEE Control Systems Letters, vol. 1, pp. 316-321, 2017.
K. Lesser and M. Oishi, "Approximate safety verification and control of partially observable stochastic hybrid systems," IEEE Transactions on Automatic Control, vol. 62, no. 1, pp. 81-96, 2017.
A. P. Vinod and M. M. K. Oishi, "Scalable underapproximation for stochastic reach-avoid problem for high-dimensional LTI systems using Fourier transforms," in IEEE Conference on Decision and Control, December 2017.
J. Gleason, A. P. Vinod, and M. M. K. Oishi, "Underapproximation of reach-avoid sets for discrete-time stochastic systems via Lagrangian methods," in IEEE Conference on Decision and Control, December 2017, pp. 4283-4290.
T. Adamson, M. Oishi, H.-T. L. Chiang, and L. Tapia, "Busy beeway: A game for testing human-automation collaboration for navigation," in ACM International Conference on Motion in Games (MIG), 2017, pp. 9:1-9:6.
J. D. Gleason, M. Oishi, M. Simkulet, T. Arunas, L. Brown, S. Brueck, and R. F. Karlicek, "A novel smart lighting clinical testbed," in IEEE Int'l Conference of the Engineering in Medicine and Biology Society, Jeju, Korea, July 2017, pp. 4317-4320.
B. HomChaudhuri, A. P. Vinod, and M. M. K. Oishi, "Computation of forward stochastic reach sets: Application to stochastic, dynamic obstacle avoidance," in American Control Conference, Seattle, WA, July 2017, pp. 4404-4411.
M. Oishi, V. Svilha, and V. Law, "Improved learning through collaborative, scenario-based quizzes in an undergraduate control theory course," in ASEE Annual Conference & Exhibition, Columbus, OH, June 2017.
H.-T. L. Chiang, B. HomChaudhuri, A. P. Vinod, M. Oishi, and L. Tapia, "Dynamic risk tolerance: Motion planning by balancing short-term and long-term stochastic dynamic predictions," in International Conference on Robotics and Automation, Singapore, May 2017, pp. 3762-3769.
A. Vinod, B. HomChaudhuri, and M. Oishi, "Forward stochastic reachability analysis for uncontrolled linear systems using Fourier transforms," in Hybrid Systems: Computation and Control, Pittsburgh, PA, April 2017, pp. 35-44, Best Paper Award.

2016

T. Hammond, N. Eskandari, and M. Oishi, "Observability of user-interfaces for hybrid LTI systems under collaborative control: Application to aircraft flight management systems," IEEE Transactions on Automation Science and Engineering, vol. 13, no. 1, pp. 78-84, 2016.
M. Oishi, C. Tomlin, and D. Tilbury, "Special section on human-centered automation," IEEE Transactions on Automation Science and Engineering, vol. 13, no. 1, pp. 4-6, January 2016, Guest editor.
J. Gleason, A. P. Vinod, M. M. K. Oishi, and R. S. Erwin, "Viable set approximation for linear-gaussian systems with unknown, bounded variance," in IEEE Conference on Decision and Control, December 2016, pp. 7049-7055.
B. HomChaudhuri, M. Oishi, M. Shubert, M. Baldwin, and R. S. Erwin, "Computing reach-avoid sets for space vehicle docking under continuous thrust," in IEEE Conference on Decision and Control, December 2016, pp. 3312-3318.
A. P. Vinod, Y. Tang, M. M. K. Oishi, K. Sycara, C. Lebiere, and M. Lewis, "Validation of cognitive models for collaborative hybrid systems with discrete human input," in IEEE/RSJ International Conference on Intelligent Robots and Systems, October 2016, pp. 3339-3346.
A. Vinod, T. Summers, and M. Oishi, "User-interface design for MIMO LTI human-automation systems through sensor placement," in American Control Conference, July 2016, pp. 5276-5283.

2015

S. Kaynama, I. M. Mitchell, M. Oishi, and G. Dumont, "Scalable safety-preserving robust control synthesis for continuous-time linear systems," IEEE Transactions on Automatic Control, vol. 60, no. 11, November 2015.
S. Lee, D. Kim, D. Svenkeson, G. Parras, M. Oishi, and M. McKeown, "Multifaceted effects of noisy galvanic vestibular stimulation on manual tracking behavior in Parkinson's Disease," Frontiers in Systems Neuroscience, vol. 9, pp. 1-5, February 2015.
C. Gonzalez, D. Svenkeson, D. J. Kim, M. J. McKeown, and M. Oishi, "Detection of manual tracking submovements in parkinson's disease through hybrid optimization," in IFAC Conference on Analysis and Design of Hybrid Systems, Atlanta, GA, October 2015, pp. 291-297.
P. Cruz, M. Oishi, and R. Fierro, "Lift of a cable-suspended load by a quadrotor: A hybrid system approach," in American Control Conference, Chicago, IL, June 2015, pp. 1887-1892.
K. Lesser and M. Oishi, "Computing probabilistic viable sets for partially observable hybrid systems using truncated gaussians and adaptive gridding," in American Control Conference, Chicago, IL, June 2015, pp. 1505-1512.
L. Chiang, N. Malone, K. Lesser, M. Oishi, and L. Tapia, "Path-guided artificial potential fields with stochastic reachable sets for motion planning in highly dynamic environments," in International Conference on Robotics and Automation, Seattle, WA, May 2015, pp. 2347-2354.
K. Lesser and M. Oishi, "Finite state approximation for verification of partially observable stochastic hybrid systems," in Hybrid Systems: Computation and Control, Seattle, WA, April 2015, pp. 159-168.

2014

K. Lesser and M. Oishi, "Reachability for partially observable discrete time stochastic hybrid systems," Automatica, vol. 50, no. 8, pp. 1989-1998, August 2014.
D. Svenkeson, B. Sena, M. Oishi, S. Pappu, and H. Yonas, "A novel use of transfer function estimation for early assessment of brain injury outcome," IEEE Transactions on Biomedical Engineering, vol. 61, no. 9, pp. 2413-2421, September 2014.
N. Eskandari, M. Oishi, and Z. Wang, "Observability analysis of continuous-time LTI systems with limited derivative data," Asian Journal of Control, vol. 16, no. 2, pp. 623-627, March 2014.
J. K. R. Stevenson, C. Lee, B.-S. Lee, P. TalebiFard, E. Ty, K. Aseeva, M. M. K. Oishi, and M. J. McKeown, "Excessive sensitivity to uncertain visual input in L-dopa induced dyskinesias in Parkinson's disease: further implications for cerebellar involvement," Frontiers in Movement Disorders, vol. 5, no. 8, pp. 1-13, February 2014.
T. Biswas, K. Lesser, R. Dutta, and M. Oishi, "Using linear system reliability to obtain theoretical understanding of wireless networks," in IEEE Global Communications Conference (GLOBECOM), December 2014, pp. 1310-1316.
H.-T. Chang, N. Malone, K. Lesser, M. Oishi, and L. Tapia, "Aggressive moving obstacle avoidance using a stochastic reachability based potential field," in International Workshop on the Algorithmic Foundations of Robotics (WAFR), ser. Springer Tracts in Advanced Robotics, H. L. Akin, N. M. Amato, V. Isler, and A. F. van der Stappen, Eds., vol. 107, September 2014, pp. 73-89.
R. Meyer, F. Just, R. DeCarlo, M. Zefran, and M. Oishi, "Notch filter and MPC for powered wheelchair operation under Parkinson's tremor," in American Control Conference, June 2014, pp. 4114-4120.
M. Oishi, "Assessing information availability for user-interfaces of shared control systems under reference tracking," in American Control Conference, June 2014, pp. 3474-3481.
N. Malone, K. Lesser, M. Oishi, and L. Tapia, "Stochastic reachability based motion planning for multiple moving obstacle avoidance," in Hybrid Systems: Computation and Control, Berlin, Germany, April 2014, pp. 51-60.
B. Tabibian, M. Lewis, C. Lebiere, N. Chakraborty, K. Sycara, and M. Oishi, "Towards a cognitively-based analytic model of human control of swarms," in AAAI Spring Symposium, March 2014, pp. 68-73, in "Formal Verification and Modeling in Human- Machine Systems".

2013

S. Kaynama and M. Oishi, "A modified Riccati transformation for decentralized computation of the viability kernel under LTI dynamics," IEEE Transactions on Automatic Control, vol. 58, no. 11, pp. 2878-2892, November 2013.
I. Mitchell, S. Kaynama, M. Chen, and M. Oishi, "Safety preserving control synthesis for sampled data systems," Nonlinear Analysis: Hybrid Systems, vol. 10, pp. 63-82, November 2013.
J. Maidens, S. Kaynama, I. Mitchell, M. Oishi, and G. Dumont, "Lagrangian methods for computing the viability kernel in high-dimensional systems," Automatica, vol. 49, no. 7, pp. 2017-2029, July 2013.
N. Baradaran, S. N. Tan, A. Liu, A. Ashoori, S. Palmer, Z. J. Wang, M. Oishi, and M. J. McKe- own, "Parkinson's disease rigidity: relation to brain connectivity and motor performance," Frontiers in Movement Disorders, vol. 4, no. 67, pp. 1-9, June 2013.
K. Lesser, M. Oishi, and R. Erwin, "Stochastic reachability for control of spacecraft relative motion," in IEEE Conference on Decision and Control, Florence, Italy, December 2013, pp. 4705-5712.

2012

I. Mitchell, M. Chen, and M. Oishi, "Ensuring safety of nonlinear sampled data systems through reachability," in IFAC Conference on Analysis and Design of Hybrid Systems, Eindhoven, NL, June 2012, pp. 108-114.
S. Kaynama, M. Oishi, I. Mitchell, and G. Dumont, "Fixed-complexity piecewise ellipsoidal representation of the continual reachability set based on ellipsoidal techniques," in American Control Conference, Montreal, QB, June 2012, pp. 2425-2430.
S. Kaynama, J. Maidens, M. Oishi, I. Mitchell, and G. Dumont, "Computing the viability kernel using maximal reachable sets," in Hybrid Systems: Computation and Control, Beijing, China, April 2012, pp. 55-63.
R. A. Cortez, D. Tolic, I. Palunko, N. Eskandari, M. Oishi, R. Fierro, and J. Wood, "Framework for user-guided search and adaptive target tracking via cooperative UAVs," in Advanced Intelligent and Autonomous Aerospace Systems, ser. Progress in Astronautics and Aeronautics, J. Valasek, Ed. AIAA, 2012, vol. 241, pp. 445-468.

2011

A. Ashoori, M. McKeown, and M. Oishi, "Switched manual pursuit tracking tasks to measure motor performance in Parkinson's disease," IET Control Theory and Applications, vol. 5, no. 17, pp. 1970-1977, November 2011.
J. Stevenson, P. TalebiFard, E. Ty, M. Oishi, and M. McKeown, "Dyskinetic Parkinson's disease patients demonstrate motor abnormalities off medication," Experimental Brain Research, vol. 214, no. 3, pp. 471-479, October 2011.
M. Oishi, P. TalebiFard, and M. McKeown, " Assessing Manual Pursuit Tracking in Parkinson's Disease Via Linear Dynamical Systems," Annals of Biomedical Engineering, vol. 39, no. 8, pp. 2263-2273, August 2011.
M. Oishi, N. Matni, A. Ashoori, and M. J. McKeown, "Switching restrictions for stability despite switching delay: Application to switched tracking tasks in Parkinson's disease," Nonlinear Systems and Analysis, vol. 2, no. 1-2, pp. 16-25, 2011, Special issue on hybrid systems.
J. K. R. Stevenson, M. Oishi, S. Farajian, E. Cretu, E. Ty, and M. J. McKeown, "Response to sensory uncertainty in Parkinson's disease: A marker of cerebellar dysfunction?" European Journal for Neuroscience, vol. 83, no. 2, pp. 298-305, February 2011.
S. Kaynama and M. Oishi, "Complexity reduction through a Schur-based decomposition for reachability analysis of linear time-invariant systems," International Journal of Control, vol. 84, no. 1, pp. 165-179, January 2011.
S. Kaynama, M. Oishi, I. Mitchell, and G. Dumont, "Continual reachability set and its computation using maximal reachability techniques," in IEEE Conference on Decision and Control, Orlando, FL, December 2011, pp. 6110 - 6115.
N. Eskandari and M. Oishi, "Computing observable and predictable subspaces to evaluate user-interfaces of LTI systems under shared control," in IEEE International Conference on Systems, Man, and Cybernetics, Anchorage, AK, October 2011, pp. 2803 -2808, Best Student Paper Award.
N. Matni and M. Oishi, "Stability of switched block upper-triangular linear systems with switching delay: Application to large distributed systems," in American Control Conference, San Francisco, CA, June 2011, pp. 1440-1445.
M. Oishi, P. Tagipour Bibalan, A. Cheng, and I. Mitchell, "Modeling and control of a powered wheelchair: Wall-following around a corner with infrared," in Canadian Congress on Applied Mechanics, June 2011.
M. Oishi, A. Cheng, P. Tagipour Bibalan, and I. Mitchell, "Building a smart wheelchair on a flexible software platform," in Rehabilitation Engineering and Assistive Technology Society of North America (RESNA) International Conference on Technology and Aging, June 2011.