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Seamless human-robot manipulation in close proximity relies on accurate forecasts of human motion.
Vehicle dynamics and external disturbance estimation for vehicle path prediction
C.-F. Lin, A. G. Ulsoy, and D. J. LeBlanc · 2000
Earlier work this paper cites.
Imm object tracking for high dynamic driving maneuvers
N. Kaempchen, K. Weiss, M. Schaefer, and K. C. Dietmayer · 2004
Earlier work this paper cites.
Reducing navigation errors by planning with realistic vehicle model
R. Pepy, A. Lambert, and H. Mounier · 2006
Earlier work this paper cites.
Sensor fusion for predicting vehicles’ path for collision avoidance systems
A. Polychronopoulos, M. Tsogas, A. J. Amditis, and L. Andreone · 2007
Earlier work this paper cites.
Comparison and evaluation of advanced motion models for vehicle tracking
R. Schubert, E. Richter, and G. Wanielik · 2008
Earlier work this paper cites.
Continuous driver intention recognition with hidden markov models
H. Berndt, J. Emmert, and K. Dietmayer · 2008
Earlier work this paper cites.
Maximum entropy inverse reinforcement learning
B. D. Ziebart, A. L. Maas, J. A. Bagnell, A. K. Dey, et al · 2008
Earlier work this paper cites.
Situation assessment of an autonomous emergency brake for arbitrary vehicle-to-vehicle collision scenarios
N. Kaempchen, B. Schiele, and K. Dietmayer · 2009
Earlier work this paper cites.
A bayesian nonparametric approach to modeling motion patterns
J. Joseph, F. Doshi-Velez, A. S. Huang, and N. Roy · 2011
Earlier work this paper cites.
A human-aware manipulation planner
E. A. Sisbot and R. Alami · 2012
Earlier work this paper cites.
Human3. 6m: Large scale datasets and predictive methods for 3d human sensing in natural environments
C. Ionescu, D. Papava, V. Olaru, and C. Sminchisescu · 2013
Earlier work this paper cites.
Online maneuver recognition and multimodal trajectory prediction for intersection assistance using non-parametric regression
Q. Tran and J. Firl · 2014
Earlier work this paper cites.
Toward safe close-proximity human-robot interaction with standard industrial robots
P. A. Lasota, G. F. Rossano, and J. A. Shah · 2014
Earlier work this paper cites.
Switched kalman filter-interacting multiple model algorithm based on optimal autoregressive model for manoeuvring target tracking
B. Jin, B. Jiu, T. Su, H. Liu, and G. Liu · 2015
Earlier work this paper cites.
Recurrent network models for human dynamics
K. Fragkiadaki, S. Levine, P. Felsen, and J. Malik · 2015
Earlier work this paper cites.
Predicting human reaching motion in collaborative tasks using inverse optimal control and iterative re-planning
J. Mainprice, R. Hayne, and D. Berenson · 2015
Earlier work this paper cites.
Social lstm: Human trajectory prediction in crowded spaces
A. Alahi, K. Goel, V. Ramanathan, A. Robicquet, L. Fei-Fei, and S. Savarese · 2016
Earlier work this paper cites.
A review of motion planning techniques for automated vehicles
D. S. González, J. Pérez, V. M. Montero, and F. Nashashibi · 2016
Earlier work this paper cites.
Deep learning on spatio-temporal graphs
A. Jain, A. Zamir, S. Savarese, and A. Saxena · 2016
Earlier work this paper cites.
Goal set inverse optimal control and iterative replanning for predicting human reaching motions in shared workspaces
J. Mainprice, R. Hayne, and D. Berenson · 2016
Earlier work this paper cites.
Human trajectory prediction using spatially aware deep attention models
D. Varshneya and G. Srinivasaraghavan · 2017
Earlier work this paper cites.
Information theoretic mpc for model-based reinforcement learning
G. Williams, N. Wagener, B. Goldfain, P. Drews, J. M. Rehg, B. Boots, and E. A. Theodorou · 2017
Earlier work this paper cites.
Improved driving behaviors prediction based on fuzzy logic-hidden markov model (fl-hmm)
Q. Deng and D. Söffker · 2018
Earlier work this paper cites.
Modeling driver behavior from demonstrations in dynamic environments using spatiotemporal lattices
D. S. González, O. Erkent, V. Romero-Cano, J. Dibangoye, and C. Laugier · 2018
Earlier work this paper cites.
Context-aware trajectory prediction
F. Bartoli, G. Lisanti, L. Ballan, and A. Del Bimbo · 2018
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Soft+ hardwired attention: An lstm framework for human trajectory prediction and abnormal event detection
T. Fernando, S. Denman, S. Sridharan, and C. Fookes · 2018
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Learning to drive in a day
A. Kendall, J. Hawke, D. Janz, P. Mazur, D. Reda, J. M. Allen, V.-D. Lam, A. Bewley, and A. Shah · 2018
Cited alongside, same era.
Teaching robots to predict human motion
L. Gui, K. Zhang, Y.-X. Wang, X. Liang, J. M. F. Moura, and M. M. Veloso · 2018
Cited alongside, same era.
Human-aware robotic assistant for collaborative assembly: Integrating human motion prediction with planning in time
V. Unhelkar, P. A. Lasota, Q. Tyroller, R.-D. Buhai, L. Marceau, B. Deml, and J. A. Shah · 2018
Cited alongside, same era.
AMASS: Archive of motion capture as surface shapes
Multi-person 3d motion prediction with multi-range transformers
J. Wang, H. Xu, M. G. Narasimhan, and X. Wang · 2021
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Attention deep learning based model for predicting the 3d human body pose using the robot human handover phases
J. Laplaza, A. Pumarola, F. Moreno-Noguer, and A. Sanfeliu · 2021
Later among the works it cites.
Directed acyclic graph neural network for human motion prediction
Q. Li, G. Chalvatzaki, J. Peters, and Y. Wang · 2021
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Model predictive robot-environment interaction control for mobile manipulation tasks
M. V. Minniti, R. Grandia, K. Fäh, F. Farshidian, and M. Hutter · 2021
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Collision-free human-robot collaboration based on context awareness
H. Liu and L. Wang · 2021
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Of moments and matching: A game-theoretic framework for closing the imitation gap
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N. Mahmood, N. Ghorbani, N. F. Troje, G. Pons-Moll, and M. J. Black · 2019
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Jointly learnable behavior and trajectory planning for self-driving vehicles
A. Sadat, M. Ren, A. Pokrovsky, Y.-C. Lin, E. Yumer, and R. Urtasun · 2019
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Crowd-robot interaction: Crowd-aware robot navigation with attention-based deep reinforcement learning
C. Chen, Y. Liu, S. Kreiss, and A. Alahi · 2019
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An mpc framework for online motion planning in human-robot collaborative tasks
M. Faroni, M. Beschi, and N. Pedrocchi · 2019
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An ontology for human-human interactions and learning interaction behavior policies
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Fast joint space model-predictive control for reactive manipulation
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Z. Huang, H. Liu, J. Wu, and C. Lv · 2022
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Intention aware robot crowd navigation with attention-based interaction graph
S. Liu, P. Chang, Z. Huang, N. Chakraborty, W. Liang, J. Geng, and K. Driggs-Campbell · 2022
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A survey on trajectory-prediction methods for autonomous driving
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Deep interactive motion prediction and planning: Playing games with motion prediction models
J. L. Vázquez, A. Liniger, W. Schwarting, D. Rus, and L. V. Gool · 2022
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Scene transformer: A unified architecture for predicting future trajectories of multiple agents
J. Ngiam, V. Vasudevan, B. Caine, Z. Zhang, H.-T. L. Chiang, J. Ling, R. Roelofs, A. Bewley, C. Liu, A. Venugopal, D. J. Weiss, B. Sapp, Z. Chen, and J. Shlens · 2022
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Somoformer: Multi-person pose forecasting with transformers
E. Vendrow, S. Kumar, E. Adeli, and H. Rezatofighi · 2022
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Context attention: Human motion prediction using context information and deep learning attention models
J. Laplaza, F. Moreno-Noguer, and A. Sanfeliu · 2022
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Model predictive control for fluid human-to-robot handovers
W. Yang, B. Sundaralingam, C. Paxton, I. Akinola, Y.-W. Chao, M. Cakmak, and D. Fox · 2022
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Motion planning combines human motion prediction for human-robot cooperation
H. Ling, G. Liu, L. Zhu, B. Huang, F. Lu, H. Wu, G. Tian, and Z. Ji · 2022
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Mild: Multimodal interactive latent dynamics for learning human-robot interaction
V. Prasad, D. Koert, R. M. Stock-Homburg, J. Peters, and G. Chalvatzaki · 2022
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Conditional predictive behavior planning with inverse reinforcement learning for human-like autonomous driving
Z. Huang, H. Liu, J. Wu, and C. Lv · 2023
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From crowd motion prediction to robot navigation in crowds
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