- [2112.09169] On Optimizing Interventions in Shared Autonomy🔍
- On Optimizing Interventions in Shared Autonomy🔍
- Policy Optimization under Imperfect Human Interactions with Agent ...🔍
- Shared Autonomy with IDA🔍
- Shared Autonomy via Hindsight Optimization🔍
- To the Noise and Back🔍
- Residual Policy Learning for Shared Autonomy🔍
- Assistive Control of Robot Arms Via Adaptive Shared Autonomy🔍
On Optimizing Interventions in Shared Autonomy
[2112.09169] On Optimizing Interventions in Shared Autonomy - arXiv
We examine approaches for improving the user experience by constraining the number of interventions by the autonomous agent.
cally maintain their satisfaction of collaboration, or level of autonomy. Shared autonomy provides a framework to allow human and autonomous ...
On Optimizing Interventions in Shared Autonomy - David Koleczek
A broader area of research about Human-AI collaboration. Human input is combined with semi-autonomous control to achieve a common goal.
Policy Optimization under Imperfect Human Interactions with Agent ...
Policy Optimization under Imperfect Human Interactions with Agent-Gated Shared Autonomy ... intervention trajectories. Instead of relying ...
Shared Autonomy with IDA: Interventional Diffusion Assistance
We also prove a lower bound on the expected return associated with the policy using the intervention function proportional to the pilot and copilot performance.
Shared Autonomy via Hindsight Optimization - Robotics
We separate related works into goal prediction and assis- tance strategies. A. Goal Prediction. Maximum entropy inverse optimal control (MaxEnt IOC) methods ...
Shared Autonomy via Hindsight Optimization - PMC - NCBI
We separate related works into goal prediction and assistance strategies. A. Goal Prediction. Maximum entropy inverse optimal control (MaxEnt IOC) methods have ...
To the Noise and Back: Diffusion for Shared Autonomy - arXiv
On optimizing interventions in shared autonomy. arXiv preprint arXiv:2112.09169,. 2021. [48] Emanuel Todorov, Tom Erez, and Yuval Tassa. Mu ...
Residual Policy Learning for Shared Autonomy - ResearchGate
... interventions taken being less than a given constant. ... On Optimizing Interventions in Shared Autonomy. Article. Jun 2022. Weihao Tan · David ...
MAPLES: Model based Assistive Policy Learning for Shared-autonomy
Chandak, “On optimizing interventions in shared autonomy,” in Proceedings of the. AAAI Conference on Artificial Intelligence, vol. 36, pp. 5341–5349,. 2022 ...
The final robot control is determined by blending the user and assistance control inputs based on preselected arbitration strategies (e.g., ...
Optimization of Shared Autonomy Vehicle Control Architectures for ...
The need for greater capacity in automotive transportation (in the midst of constrained resources) and the convergence of key technologies ...
Coordinated Multi-Robot Shared Autonomy Based on Scheduling ...
The major challenges in coordinated shared autonomy are determining what interventions the operator may want to provide and when they may ...
Shared autonomy via hindsight optimization for teleoperation and ...
In shared autonomy, a user and autonomous system work together to achieve shared goals. To collaborate effectively, the autonomous system must know the ...
Shared autonomy via hindsight optimization for teleoperation and ...
Users with different preferences had very different strategies for using each system. Some users who preferred the assistance policy changed their strategy to ...
Human-in-the-Loop Optimization of Shared Autonomy in Assistive ...
of control sharing. Optimization techniques have been adopted to generate dif- ferent strategies for control sharing; for example, formulating the problem ...
Human-Robot Mutual Adaptation in Shared Autonomy - PMC - NCBI
Therefore, a robot that optimizes the task completion time will account for the human adaptability implicitly in its optimization process: if the human is non- ...
Modulating Human Input for Shared Autonomy in Dynamic ... - Pure
an optimization-based representation for shared autonomy in ... 2) Inequality constraints versus input modulation: We compare two strategies for shared autonomy ...
Human-in-the-Loop Optimization of Shared Autonomy in Assistive ...
the amount of control sharing. Optimization techniques have been adopted to generate dif- ferent strategies for control sharing; for example, formulating.
Human-in-the-Loop Optimization of Shared Autonomy in Assistive ...
Request PDF | Human-in-the-Loop Optimization of Shared Autonomy in Assistive Robotics | In this paper, we propose a mathematical framework ...