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Daniel Rakita
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2020 – today
- 2024
- [i7]Liam Merz Hoffmeister, Brian Scassellati, Daniel Rakita:
Sequential Discrete Action Selection via Blocking Conditions and Resolutions. CoRR abs/2409.08410 (2024) - [i6]Xiatao Sun, Francis Fan, Yinxing Chen, Daniel Rakita:
A Comparative Study on State-Action Spaces for Learning Viewpoint Selection and Manipulation with Diffusion Policy. CoRR abs/2409.14615 (2024) - 2023
- [c21]Andrew J. Schoen, Dakota Sullivan, Ze Dong Zhang, Daniel Rakita, Bilge Mutlu:
Lively: Enabling Multimodal, Lifelike, and Extensible Real-time Robot Motion. HRI 2023: 594-602 - [c20]Vatsal V. Patel, Daniel Rakita, Aaron M. Dollar:
An Analysis of Unified Manipulation with Robot Arms and Dexterous Hands via Optimization-based Motion Synthesis. ICRA 2023: 8090-8096 - [c19]Yeping Wang, Pragathi Praveena, Daniel Rakita, Michael Gleicher:
RangedIK: An Optimization-based Robot Motion Generation Method for Ranged-Goal Tasks. ICRA 2023: 9700-9706 - [i5]Yeping Wang, Pragathi Praveena, Daniel Rakita, Michael Gleicher:
RangedIK: An Optimization-based Robot Motion Generation Method for Ranged-Goal Tasks. CoRR abs/2302.13935 (2023) - 2022
- [j6]Constantinos Chamzas, Carlos Quintero-Peña, Zachary K. Kingston, Andreas Orthey, Daniel Rakita, Michael Gleicher, Marc Toussaint, Lydia E. Kavraki:
MotionBenchMaker: A Tool to Generate and Benchmark Motion Planning Datasets. IEEE Robotics Autom. Lett. 7(2): 882-889 (2022) - [c18]Daniel Rakita, Bilge Mutlu, Michael Gleicher:
Proxima: An Approach for Time or Accuracy Budgeted Collision Proximity Queries. Robotics: Science and Systems 2022 - 2021
- [j5]Daniel Rakita, Bilge Mutlu, Michael Gleicher:
Single-query Path Planning Using Sample-Efficient Probability Informed Trees. IEEE Robotics Autom. Lett. 6(3): 4624-4631 (2021) - [c17]Daniel Rakita, Bilge Mutlu, Michael Gleicher:
Strobe: An Acceleration Meta-algorithm for Optimizing Robot Paths using Concurrent Interleaved Sub-Epoch Pods. ICRA 2021: 9950-9956 - [c16]Daniel Rakita, Haochen Shi, Bilge Mutlu, Michael Gleicher:
CollisionIK: A Per-Instant Pose Optimization Method for Generating Robot Motions with Environment Collision Avoidance. ICRA 2021: 9995-10001 - [i4]Daniel Rakita, Haochen Shi, Bilge Mutlu, Michael Gleicher:
CollisionIK: A Per-Instant Pose Optimization Method for Generating Robot Motions with Environment Collision Avoidance. CoRR abs/2102.13187 (2021) - [i3]Daniel Rakita, Bilge Mutlu, Michael Gleicher:
Single-query Path Planning Using Sample-efficient Probability Informed Trees. CoRR abs/2106.00150 (2021) - [i2]Daniel Rakita, Bilge Mutlu, Michael Gleicher:
Strobe: An Acceleration Meta-algorithm for Optimizing Robot Paths using Concurrent Interleaved Sub-Epoch Pods. CoRR abs/2106.00153 (2021) - [i1]Constantinos Chamzas, Carlos Quintero-Peña, Zachary K. Kingston, Andreas Orthey, Daniel Rakita, Michael Gleicher, Marc Toussaint, Lydia E. Kavraki:
MotionBenchMaker: A Tool to Generate and Benchmark Motion Planning Datasets. CoRR abs/2112.06402 (2021) - 2020
- [j4]Daniel Rakita, Bilge Mutlu, Michael Gleicher:
An analysis of RelaxedIK: an optimization-based framework for generating accurate and feasible robot arm motions. Auton. Robots 44(7): 1341-1358 (2020) - [c15]Pragathi Praveena, Daniel Rakita, Bilge Mutlu, Michael Gleicher:
Supporting Perception of Weight through Motion-induced Sensory Conflicts in Robot Teleoperation. HRI 2020: 509-517 - [c14]Daniel Rakita, Bilge Mutlu, Michael Gleicher:
Effects of Onset Latency and Robot Speed Delays on Mimicry-Control Teleoperation. HRI 2020: 519-527
2010 – 2019
- 2019
- [j3]Daniel Rakita, Bilge Mutlu, Michael Gleicher, Laura M. Hiatt:
Shared control-based bimanual robot manipulation. Sci. Robotics 4(30) (2019) - [c13]Daniel Rakita, Bilge Mutlu, Michael Gleicher:
STAMPEDE: A Discrete-Optimization Method for Solving Pathwise-Inverse Kinematics. ICRA 2019: 3507-3513 - [c12]Pragathi Praveena, Daniel Rakita, Bilge Mutlu, Michael Gleicher:
User-Guided Offline Synthesis of Robot Arm Motion from 6-DoF Paths. ICRA 2019: 8825-8831 - [c11]Daniel Rakita, Bilge Mutlu, Michael Gleicher:
Remote Telemanipulation with Adapting Viewpoints in Visually Complex Environments. Robotics: Science and Systems 2019 - 2018
- [j2]Christopher Bodden, Daniel Rakita, Bilge Mutlu, Michael Gleicher:
A flexible optimization-based method for synthesizing intent-expressive robot arm motion. Int. J. Robotics Res. 37(11) (2018) - [c10]Daniel Rakita, Bilge Mutlu, Michael Gleicher, Laura M. Hiatt:
Shared Dynamic Curves: A Shared-Control Telemanipulation Method for Motor Task Training. HRI 2018: 23-31 - [c9]Daniel Rakita, Bilge Mutlu, Michael Gleicher:
An Autonomous Dynamic Camera Method for Effective Remote Teleoperation. HRI 2018: 325-333 - [c8]Daniel Rakita, Bilge Mutlu, Michael Gleicher:
RelaxedIK: Real-time Synthesis of Accurate and Feasible Robot Arm Motion. Robotics: Science and Systems 2018 - 2017
- [c7]Daniel Rakita, Bilge Mutlu, Michael Gleicher:
A Motion Retargeting Method for Effective Mimicry-based Teleoperation of Robot Arms. HRI 2017: 361-370 - [c6]Daniel Rakita:
Methods for Effective Mimicry-based Teleoperation of Robot Arms. HRI (Companion) 2017: 371-372 - [c5]Guru Subramani, Daniel Rakita, Hongyi Wang, Jordan Black, Michael R. Zinn, Michael Gleicher:
Recognizing actions during tactile manipulations through force sensing. IROS 2017: 4386-4393 - [c4]Oliver Liu, Daniel Rakita, Bilge Mutlu, Michael Gleicher:
Understanding human-robot interaction in virtual reality. RO-MAN 2017: 751-757 - 2016
- [j1]Tomislav Pejsa, Daniel Rakita, Bilge Mutlu, Michael Gleicher:
Authoring directed gaze for full-body motion capture. ACM Trans. Graph. 35(6): 161:1-161:11 (2016) - [c3]Daniel Rakita, Bilge Mutlu, Michael Gleicher:
Motion synopsis for robot arm trajectories. RO-MAN 2016: 281-287 - [c2]Christopher Bodden, Daniel Rakita, Bilge Mutlu, Michael Gleicher:
Evaluating intent-expressive robot arm motion. RO-MAN 2016: 658-663 - 2015
- [c1]Daniel Rakita, Tomislav Pejsa, Bilge Mutlu, Michael Gleicher:
Inferring gaze shifts from captured body motion. SIGGRAPH Posters 2015: 77:1
Coauthor Index
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last updated on 2024-10-16 21:24 CEST by the dblp team
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