Human-robot collaborative manipulation planning using early prediction of human motion
By Jim Mainprice, Dmitry Berenson. 2013
337 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Control and Systems Engineering, Human-Computer Interaction
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- German Ignacio Parisi
- Stefan Wermter
- Luiza Mici
- Siddhartha S. Srinivasa
- Sami Haddadin
- Alin Olimpiu Albu-Schäffer
- J. Bagnell
- Bradley Hayes
In Control and Systems Engineering
- Sami Haddadin
- Julie Arnold Shah
- Alin Olimpiu Albu-Schäffer
- Przemyslaw A. Lasota
- T. Fong
- Alessandro De Luca
- Jangwon Lee
- Bradley Hayes
In Human-Computer Interaction
- Stefan Wermter
- German Ignacio Parisi
- Luiza Mici
- Henny Admoni
- Julie Arnold Shah
- T. Fong
- Siddhartha S. Srinivasa
- Brian Scassellati
Citations in the corpus
- An Incremental Self-Organizing Architecture for Sensorimotor Learning and Prediction (2017, methodology): “networks have found successful applications as predictive approaches [2], [12], [13], [20].”
- Effective robot teammate behaviors for supporting sequential manipulation tasks (2015, background): “Accordingly, recent work on collaboration has been published with a focus on motion planning that implicitly conveys intent [13], as well as motion planning that accommodates the expected motions of others within an interaction [14].”
- Initiative in robot assistance during collaborative task execution (2016, background): “Another vein of research focuses on low-level motion planning for the robot within a collaborative context [5], [8], [9], [10], with an eye towards improving team fluency and the user’s sense of safety.”
- Robot Collisions: A Survey on Detection, Isolation, and Identification (2017, background): “Other approaches like [11], [21]–[23] aim for effectively planning collision-free robot motions also incorporating the prediction of human behavior.”
- Symbiotic human-robot collaborative assembly (2019, methodology): “Mainprice and Berenson [146] categorised human actions through the use of Gaussian Mixture Models (GMMs) and Regression (GMR).”
- A survey of robot learning from demonstrations for Human-Robot Collaboration (2017, background): “Jim Mainprice and Dmitry Berenson presented a new framework to recognize humans intentions as early as possible [24].”
- A Survey of Methods for Safe Human-Robot Interaction (2017, background): “Mainprice and Berenson (2013) developed a framework that utilizes labeled demonstrations of reaching motions to generate models for prediction of workspace occupancy.”
- Shared autonomy via hindsight optimization for teleoperation and teaming (2017, methodology): “…2005; Aarno and Kragic, 2008; Carlson and Demiris, 2012; Dragan and Srinivasa, 2013b; Hauser, 2013; Muelling et al., 2015) and human-robot teaming (Hoffman and Breazeal, 2007; Nguyen et al., 2011; Macindoe et al., 2012; Mainprice and Berenson, 2013; Koppula and Saxena, 2013; Lasota and Shah, 2015).”