Robust team-play in highly uncertain environments. - Henry Work; Eric Chown; Tucker Hermans; Jesse Butterfield (AAMAS (3), 2008)

Player Positioning in the Four-Legged League. - Henry Work; Eric Chown; Tucker Hermans; Jesse Butterfield; Mark McGranaghan 001 (RoboCup, 2008)

Movie genre classification via scene categorization. - Howard Zhou; Tucker Hermans; Asmita V. Karandikar; James M. Rehg (ACM Multimedia, 2010)

Push planning for object placement on cluttered table surfaces. - Akansel Cosgun; Tucker Hermans; Victor Emeli; Mike Stilman (IROS, 2011)

Guided pushing for object singulation. - Tucker Hermans; James M. Rehg; Aaron F. Bobick (IROS, 2012)

An In Depth View of Saliency. - Arridhana Ciptadi; Tucker Hermans; James M. Rehg (BMVC, 2013)

Learning stable pushing locations. - Tucker Hermans; Fuxin Li; James M. Rehg; Aaron F. Bobick (ICDL-EPIROB, 2013)

Decoupling behavior, perception, and control for autonomous learning of affordances. - Tucker Hermans; James M. Rehg; Aaron F. Bobick (ICRA, 2013)

Representing and learning affordance-based behaviors. - Tucker Hermans (2014)

Evaluation of tactile feature extraction for interactive object recognition. - Janine Hoelscher; Jan Peters 001; Tucker Hermans (Humanoids, 2015)

Learning robot in-hand manipulation with tactile features. - Herke van Hoof; Tucker Hermans; Gerhard Neumann; Jan Peters 001 (Humanoids, 2015)

Stabilizing novel objects by learning to predict tactile slip. - Filipe Veiga; Herke van Hoof; Jan Peters 001; Tucker Hermans (IROS, 2015)

Active tactile object exploration with Gaussian processes. - Zhengkun Yi; Roberto Calandra; Filipe Veiga; Herke van Hoof; Tucker Hermans; Yilei Zhang; Jan Peters 001 (IROS, 2016)

First demonstration of simultaneous localization and propulsion of a magnetic capsule in a lumen using a single rotating magnet. - Katie M. Popek; Tucker Hermans; Jake J. Abbott (ICRA, 2017)

Planning Multi-fingered Grasps as Probabilistic Inference in a Learned Deep Network. - Qingkai Lu; Kautilya Chenna; Balakumar Sundaralingam; Tucker Hermans (ISRR, 2017)

Relaxed-Rigidity Constraints: In-Grasp Manipulation using Purely Kinematic Trajectory Optimization. - Balakumar Sundaralingam; Tucker Hermans (Robotics: Science and Systems, 2017)

Geometric In-Hand Regrasp Planning: Alternating Optimization of Finger Gaits and In-Grasp Manipulation. - Balakumar Sundaralingam; Tucker Hermans (ICRA, 2018)

Dynamic Model Learning and Manipulation Planning for Objects in Hospitals Using a Patient Assistant Mobile (PAM)Robot. - Roya Sabbagh Novin; Amir Yazdani; Tucker Hermans; Andrew Merryweather (IROS, 2018)

Special Issue on the 2017 Robotics: Science and Systems Conference. - Tucker Hermans; Scott Kuindersma (Int. J. Robotics Res., 2018)

Grip Stabilization of Novel Objects Using Slip Prediction. - Filipe Veiga; Jan Peters 001; Tucker Hermans (IEEE Trans. Haptics, 2018)

Learning to Manipulate Object Collections Using Grounded State Representations. - Matthew Wilson; Tucker Hermans (CoRL, 2019)

Learning Task Constraints from Demonstration for Hybrid Force/Position Control. - Adam Conkey; Tucker Hermans (Humanoids, 2019)

Active Learning of Probabilistic Movement Primitives. - Adam Conkey; Tucker Hermans (Humanoids, 2019)

Robust Learning of Tactile Force Estimation through Robot Interaction. - Balakumar Sundaralingam; Alexander Sasha Lambert; Ankur Handa; Byron Boots; Tucker Hermans; Stan Birchfield; Nathan D. Ratliff; Dieter Fox (ICRA, 2019)

Relaxed-rigidity constraints: kinematic trajectory optimization and collision avoidance for in-grasp manipulation. - Balakumar Sundaralingam; Tucker Hermans (Auton. Robots, 2019)

Building 3D Object Models during Manipulation by Reconstruction-Aware Trajectory Optimization. - Kanrun Huang; Tucker Hermans (CoRR, 2019)

Contextual Reinforcement Learning of Visuo-tactile Multi-fingered Grasping Policies. - Visak Kumar; Tucker Hermans; Dieter Fox; Stan Birchfield; Jonathan Tremblay (CoRR, 2019)

A Model Predictive Approach for Online Mobile Manipulation of Nonholonomic Objects using Learned Dynamics. - Roya Sabbagh Novin; Amir Yazdani; Andrew Merryweather; Tucker Hermans (CoRR, 2019)

Modeling Grasp Type Improves Learning-Based Grasp Planning. - Qingkai Lu; Tucker Hermans (IEEE Robotics Autom. Lett., 2019)

Assembly Planning by Subassembly Decomposition Using Blocking Reduction. - James Watson; Tucker Hermans (IEEE Robotics Autom. Lett., 2019)

Learning Continuous 3D Reconstructions for Geometrically Aware Grasping. - Mark Van der Merwe; Qingkai Lu; Balakumar Sundaralingam; Martin Matak; Tucker Hermans (ICRA, 2020)

Multi-Fingered Active Grasp Learning. - Qingkai Lu; Mark Van der Merwe; Tucker Hermans (IROS, 2020)

Multi-Fingered Grasp Planning via Inference in Deep Neural Networks. - Qingkai Lu; Mark Van der Merwe; Balakumar Sundaralingam; Tucker Hermans (CoRR, 2020)

Estimating Human Teleoperator Posture Using Only a Haptic-Input Device. - Amir Yazdani; Roya Sabbagh Novin; Andrew Merryweather; Tucker Hermans (CoRR, 2020)

Development of a Novel Computational Model for Evaluating Fall Risk in Patient Room Design. - Roya Sabbagh Novin; Ellen Taylor; Tucker Hermans; Andrew Merryweather (CoRR, 2020)

Planning under Uncertainty to Goal Distributions. - Adam Conkey; Tucker Hermans (CoRR, 2020)

Comparing Piezoresistive Substrates for Tactile Sensing in Dexterous Hands. - Rebecca Miles; Martin Matak; Mohanraj Devendran Shanthi; Darrin Young; Tucker Hermans (CoRR, 2020)

Benchmarking In-Hand Manipulation. - Silvia Cruciani; Balakumar Sundaralingam; Kaiyu Hang; Vikash Kumar; Tucker Hermans; Danica Kragic (IEEE Robotics Autom. Lett., 2020)

Multifingered Grasp Planning via Inference in Deep Neural Networks: Outperforming Sampling by Learning Differentiable Models. - Qingkai Lu; Mark Van der Merwe; Balakumar Sundaralingam; Tucker Hermans (IEEE Robotics Autom. Mag., 2020)

Is the Leader Robot an Adequate Sensor for Posture Estimation and Ergonomic Assessment of A Human Teleoperator? - Amir Yazdani; Roya Sabbagh Novin; Andrew Merryweather; Tucker Hermans (CASE, 2021)

Parallelised Diffeomorphic Sampling-based Motion Planning. - Tin Lai; Weiming Zhi; Tucker Hermans; Fabio Ramos 001 (CoRL, 2021)

Predicting Stable Configurations for Semantic Placement of Novel Objects. - Chris Paxton 001; Chris Xie; Tucker Hermans; Dieter Fox (CoRL, 2021)

Optimizing Hospital Room Layout to Reduce the Risk of Patient Falls. - Sarvenaz Chaeibakhsh; Roya Sabbagh Novin; Tucker Hermans; Andrew Merryweather; Alan Kuntz (ICORES, 2021)

Risk-Aware Decision Making for Service Robots to Minimize Risk of Patient Falls in Hospitals. - Roya Sabbagh Novin; Amir Yazdani; Andrew Merryweather; Tucker Hermans (ICRA, 2021)

Planning Sensing Sequences for Subsurface 3D Tumor Mapping. - Brian Y. Cho; Tucker Hermans; Alan Kuntz (ISMR, 2021)

Toward Learning Context-Dependent Tasks from Demonstration for Tendon-Driven Surgical Robots. - Yixuan Huang; Michael Bentley; Tucker Hermans; Alan Kuntz (ISMR, 2021)

DefGraspSim: Simulation-based grasping of 3D deformable objects. - Isabella Huang; Yashraj S. Narang; Clemens Eppner; Balakumar Sundaralingam; Miles Macklin; Tucker Hermans; Dieter Fox (CoRR, 2021)

DULA: A Differentiable Ergonomics Model for Postural Optimization in Physical HRI. - Amir Yazdani; Roya Sabbagh Novin; Andrew Merryweather; Tucker Hermans (CoRR, 2021)

DeformerNet: A Deep Learning Approach to 3D Deformable Object Manipulation. - Bao Thach; Alan Kuntz; Tucker Hermans (CoRR, 2021)

Ergonomically Intelligent Physical Human-Robot Interaction: Postural Estimation, Assessment, and Optimization. - Amir Yazdani; Roya Sabbagh Novin; Andrew Merryweather; Tucker Hermans (CoRR, 2021)

A model predictive approach for online mobile manipulation of non-holonomic objects using learned dynamics. - Roya Sabbagh Novin; Amir Yazdani; Andrew Merryweather; Tucker Hermans (Int. J. Robotics Res., 2021)

Near-Optimal Area-Coverage Path Planning of Energy-Constrained Aerial Robots With Application in Autonomous Environmental Monitoring. - Katharin R. Jensen-Nau; Tucker Hermans; Kam K. Leang (IEEE Trans Autom. Sci. Eng., 2021)

In-Hand Object-Dynamics Inference Using Tactile Fingertips. - Balakumar Sundaralingam; Tucker Hermans (IEEE Trans. Robotics, 2021)

StructFormer: Learning Spatial Structure for Language-Guided Semantic Rearrangement of Novel Objects. - Weiyu Liu; Chris Paxton 001; Tucker Hermans; Dieter Fox (ICRA, 2022)

Learning Visual Shape Control of Novel 3D Deformable Objects from Partial-View Point Clouds. - Bao Thach; Brian Y. Cho; Alan Kuntz; Tucker Hermans (ICRA, 2022)

DULA and DEBA: Differentiable Ergonomic Risk Models for Postural Assessment and Optimization in Ergonomically Intelligent pHRI. - Amir Yazdani; Roya Sabbagh Novin; Andrew Merryweather; Tucker Hermans (IROS, 2022)

Correcting Robot Plans with Natural Language Feedback. - Pratyusha Sharma; Balakumar Sundaralingam; Valts Blukis; Chris Paxton 001; Tucker Hermans; Antonio Torralba 001; Jacob Andreas; Dieter Fox (Robotics: Science and Systems, 2022)

Adaptive Manipulation of Conductive, Nonmagnetic Objects via a Continuous Model of Magnetically Induced Force and Torque. - Griffin F. Tabor; Lan N. Pham; Jake J. Abbott; Tucker Hermans (Robotics: Science and Systems, 2022)

L4KDE: Learning for KinoDynamic Tree Expansion. - Tin Lai; Weiming Zhi; Tucker Hermans; Fabio Ramos 001 (CoRR, 2022)

Occlusion-Robust Multi-Sensory Posture Estimation in Physical Human-Robot Interaction. - Amir Yazdani; Roya Sabbagh Novin; Andrew Merryweather; Tucker Hermans (CoRR, 2022)

StructDiffusion: Object-Centric Diffusion for Semantic Rearrangement of Novel Objects. - Weiyu Liu; Tucker Hermans; Sonia Chernova; Chris Paxton 001 (CoRR, 2022)

Attracting Conductive Nonmagnetic Objects With Rotating Magnetic Dipole Fields. - Devin K. Dalton; Griffin F. Tabor; Tucker Hermans; Jake J. Abbott (IEEE Robotics Autom. Lett., 2022)

DefGraspSim: Physics-Based Simulation of Grasp Outcomes for 3D Deformable Objects. - Isabella Huang; Yashraj S. Narang; Clemens Eppner; Balakumar Sundaralingam; Miles Macklin; Ruzena Bajcsy; Tucker Hermans; Dieter Fox (IEEE Robotics Autom. Lett., 2022)

Composable Part-Based Manipulation. - Weiyu Liu; Jiayuan Mao; Joy Hsu; Tucker Hermans; Animesh Garg; Jiajun Wu 001 (CoRL, 2023)

Ready, Set, Plan! Planning to Goal Sets Using Generalized Bayesian Inference. - Jana Pavlasek; Stanley Robert Lewis; Balakumar Sundaralingam; Fabio Ramos 001; Tucker Hermans (CoRL, 2023)

Planning for Multi-Object Manipulation with Graph Neural Network Relational Classifiers. - Yixuan Huang; Adam Conkey; Tucker Hermans (ICRA, 2023)

DefGraspNets: Grasp Planning on 3D Fields with Graph Neural Nets. - Isabella Huang; Yashraj S. Narang; Ruzena Bajcsy; Fabio Ramos 001; Tucker Hermans; Dieter Fox (ICRA, 2023)

StructDiffusion: Language-Guided Creation of Physically-Valid Structures using Unseen Objects. - Weiyu Liu; Yilun Du; Tucker Hermans; Sonia Chernova; Chris Paxton 001 (Robotics: Science and Systems, 2023)

DeformerNet: Learning Bimanual Manipulation of 3D Deformable Objects. - Bao Thach; Brian Y. Cho; Tucker Hermans; Alan Kuntz (CoRR, 2023)

Latent Space Planning for Multi-Object Manipulation with Environment-Aware Relational Classifiers. - Yixuan Huang; Nichols Crawford Taylor; Adam Conkey; Weiyu Liu; Tucker Hermans (CoRR, 2023)

Planning Visual-Tactile Precision Grasps via Complementary Use of Vision and Touch. - Martin Matak; Tucker Hermans (IEEE Robotics Autom. Lett., 2023)

DextrAH-G: Pixels-to-Action Dexterous Arm-Hand Grasping with Geometric Fabrics. - Tyler Ga Wei Lum; Martin Matak; Viktor Makoviychuk; Ankur Handa; Arthur Allshire; Tucker Hermans; Nathan D. Ratliff; Karl Van Wyk (CoRL, 2024)

Out of Sight, Still in Mind: Reasoning and Planning about Unobserved Objects with Video Tracking Enabled Memory Models. - Yixuan Huang; Jialin Yuan; Chanho Kim; Pupul Pradhan; Bryan Chen; Fuxin Li; Tucker Hermans (ICRA, 2024)

Point Cloud Models Improve Visual Robustness in Robotic Learners. - Skand Peri; Iain Lee; Chanho Kim; Fuxin Li; Tucker Hermans; Stefan Lee (ICRA, 2024)

DefGoalNet: Contextual Goal Learning from Demonstrations for Deformable Object Manipulation. - Bao Thach; Tanner Watts; Shing-Hei Ho; Tucker Hermans; Alan Kuntz (ICRA, 2024)

Neural Kinodynamic Planning: Learning for KinoDynamic Tree Expansion. - Tin Lai; Weiming Zhi; Tucker Hermans; Fabio Ramos 001 (IROS, 2024)

V-PRISM: Probabilistic Mapping of Unknown Tabletop Scenes. - Herbert Wright; Weiming Zhi; Matthew Johnson-Roberson; Tucker Hermans (IROS, 2024)

Points2Plans: From Point Clouds to Long-Horizon Plans with Composable Relational Dynamics. - Yixuan Huang; Christopher Agia; Jimmy Wu; Tucker Hermans; Jeannette Bohg (CoRR, 2024)

Differentiable GPU-Parallelized Task and Motion Planning. - William Shen; Caelan Reed Garrett; Ankit Goyal 001; Tucker Hermans; Fabio Ramos 001 (CoRR, 2024)

23 DoF Grasping Policies from a Raw Point Cloud. - Martin Matak; Karl Van Wyk; Tucker Hermans (CoRR, 2024)

Robust Bayesian Scene Reconstruction by Leveraging Retrieval-Augmented Priors. - Herbert Wright; Weiming Zhi; Matthew Johnson-Roberson; Tucker Hermans (CoRR, 2024)

Pick and Place Planning is Better Than Pick Planning Then Place Planning. - Mohanraj Devendran Shanthi; Tucker Hermans (IEEE Robotics Autom. Lett., 2024)

Position Regulation of a Conductive Nonmagnetic Object With Two Stationary Rotating-Magnetic-Dipole Field Sources. - Devin K. Dalton; Griffin F. Tabor; Tucker Hermans; Jake J. Abbott (IEEE Trans. Robotics, 2024)

Latent Space Planning for Multiobject Manipulation With Environment-Aware Relational Classifiers. - Yixuan Huang; Nichols Crawford Taylor; Adam Conkey; Weiyu Liu; Tucker Hermans (IEEE Trans. Robotics, 2024)

Magnetic manipulation of unknown and complex conductive nonmagnetic objects with application in the remediation of space debris. - Griffin F. Tabor; Lan N. Pham; Jake J. Abbott; Tucker Hermans (Int. J. Robotics Res., 2025)

scene_synthesizer: A Python Library for Procedural Scene Generation in Robot Manipulation. - Clemens Eppner; Adithyavairavan Murali; Caelan Reed Garrett; Rowland O'Flaherty; Tucker Hermans; Wei Yang 019; Dieter Fox (Zenodo, 2025)

scene_synthesizer: A Python Library for Procedural Scene Generation in Robot Manipulation. - Clemens Eppner; Adithyavairavan Murali; Caelan Reed Garrett; Rowland O'Flaherty; Tucker Hermans; Wei Yang 019; Dieter Fox (J. Open Source Softw., 2025)

Constrained Stein Variational Gradient Descent for Robot Perception, Planning, and Identification. - Griffin F. Tabor; Tucker Hermans (CoRR, 2025)

DefFusionNet: Learning Multimodal Goal Shapes for Deformable Object Manipulation via a Diffusion-based Probabilistic Model. - Bao Thach; Siyeon Kim; Britton Jordan; Mohanraj Devendran Shanthi; Tanner Watts; Shing-Hei Ho; James M. Ferguson; Tucker Hermans; Alan Kuntz (CoRR, 2025)